Triple
T8079231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batangas |
E188572
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
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.
|
E710440
|
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: Ibaan | Statement: [Batangas, hasMunicipality, Ibaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibaan Context triple: [Batangas, hasMunicipality, Ibaan]
-
A.
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.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Ybanag
Ybanag is an Austronesian language spoken primarily in the Cagayan Valley region of the northern Philippines by the Ibanag people.
-
D.
Isinay
Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
-
E.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
- 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: Ibaan Triple: [Batangas, hasMunicipality, Ibaan]
Generated description
Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibaan Target entity description: Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
-
A.
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.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Ybanag
Ybanag is an Austronesian language spoken primarily in the Cagayan Valley region of the northern Philippines by the Ibanag people.
-
D.
Isinay
Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
-
E.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.