Triple
T11677203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngatpang State |
E277523
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ibobang
Ibobang is a small village in the state of Ngatpang in the island nation of Palau, known for its traditional rural setting and coastal environment.
|
E940456
|
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: Ibobang | Statement: [Ngatpang State, hasSettlement, Ibobang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibobang Context triple: [Ngatpang State, hasSettlement, Ibobang]
-
A.
Ibaan
Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
-
B.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
-
C.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
D.
Tagabawa
Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
-
E.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
- 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: Ibobang Triple: [Ngatpang State, hasSettlement, Ibobang]
Generated description
Ibobang is a small village in the state of Ngatpang in the island nation of Palau, known for its traditional rural setting and coastal environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibobang Target entity description: Ibobang is a small village in the state of Ngatpang in the island nation of Palau, known for its traditional rural setting and coastal environment.
-
A.
Ibaan
Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
-
B.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
-
C.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
D.
Tagabawa
Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
-
E.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef3551b9a88190a9b30bcb2592628b |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51c17078819083f05036f290ce09 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:40 p.m.