Triple
T16189110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metera |
E392887
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Balaw Kalaw
Balaw Kalaw is an alternative name for Metera, a locality in Eritrea.
|
E1199517
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Balaw Kalaw | Statement: [Metera, hasAlternativeName, Balaw Kalaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balaw Kalaw Context triple: [Metera, hasAlternativeName, Balaw Kalaw]
-
A.
Lubuagan Kalinga
Lubuagan Kalinga is a major dialect of the Kalinga language spoken by indigenous communities in the Lubuagan area of Kalinga province in the northern Philippines.
-
B.
Ampatuan
Ampatuan is a municipality in the Philippine province of Maguindanao, known for its political clan and association with the 2009 Maguindanao massacre.
-
C.
Kabuntalan
Kabuntalan is a municipality in the province of Maguindanao del Norte in the Philippines, known for its location along the Rio Grande de Mindanao and its predominantly Maguindanaon population.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Bayambang
Bayambang is a municipality in the province of Pangasinan in the Philippines, known for its agricultural economy and historical significance dating back to the Spanish colonial period.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Balaw Kalaw Triple: [Metera, hasAlternativeName, Balaw Kalaw]
Generated description
Balaw Kalaw is an alternative name for Metera, a locality in Eritrea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balaw Kalaw Target entity description: Balaw Kalaw is an alternative name for Metera, a locality in Eritrea.
-
A.
Lubuagan Kalinga
Lubuagan Kalinga is a major dialect of the Kalinga language spoken by indigenous communities in the Lubuagan area of Kalinga province in the northern Philippines.
-
B.
Ampatuan
Ampatuan is a municipality in the Philippine province of Maguindanao, known for its political clan and association with the 2009 Maguindanao massacre.
-
C.
Kabuntalan
Kabuntalan is a municipality in the province of Maguindanao del Norte in the Philippines, known for its location along the Rio Grande de Mindanao and its predominantly Maguindanaon population.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Bayambang
Bayambang is a municipality in the province of Pangasinan in the Philippines, known for its agricultural economy and historical significance dating back to the Spanish colonial period.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d3a8e48190bdf29a633f4b0490 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000096f344819094fca24a342984e1 |
completed | May 10, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00012ec15c8190a09e1b37bc560f67 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.