Triple
T15722727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagay |
E381139
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Malubon
Malubon is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
|
E1173277
|
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: Malubon | Statement: [Sagay, hasBarangay, Malubon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malubon Context triple: [Sagay, hasBarangay, Malubon]
-
A.
Omalicha
Omalicha is a song by the Nigerian artist Ayo.
-
B.
Malligasta
Malligasta is a small settlement located within the Chilecito Department in La Rioja Province, Argentina, known for its rural character in a semi-arid Andean foothill region.
-
C.
Balibago
Balibago is a bustling commercial and entertainment district in Angeles City, Pampanga, Philippines, known for its nightlife, shopping areas, and proximity to Clark Freeport Zone.
-
D.
Bongabon
Bongabon is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its onion production and mountainous terrain near the Sierra Madre range.
-
E.
Mayoon
Mayoon is a village in the Lower Hunza region of Gilgit-Baltistan, Pakistan, known for its mountainous landscape and traditional Hunza culture.
- 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: Malubon Triple: [Sagay, hasBarangay, Malubon]
Generated description
Malubon is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malubon Target entity description: Malubon is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
-
A.
Omalicha
Omalicha is a song by the Nigerian artist Ayo.
-
B.
Malligasta
Malligasta is a small settlement located within the Chilecito Department in La Rioja Province, Argentina, known for its rural character in a semi-arid Andean foothill region.
-
C.
Balibago
Balibago is a bustling commercial and entertainment district in Angeles City, Pampanga, Philippines, known for its nightlife, shopping areas, and proximity to Clark Freeport Zone.
-
D.
Bongabon
Bongabon is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its onion production and mountainous terrain near the Sierra Madre range.
-
E.
Mayoon
Mayoon is a village in the Lower Hunza region of Gilgit-Baltistan, Pakistan, known for its mountainous landscape and traditional Hunza culture.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f68bf881909e5ad8a6ab81684a |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff8388b3588190ae55c123bb19cb2c |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff84125e808190a4d465d9effad639 |
completed | May 9, 2026, 6:59 p.m. |
Created at: April 10, 2026, 4:45 a.m.