Triple
T12978684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipai |
E321595
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Santa Ysabel Ipai
Santa Ysabel Ipai is a specific dialect of the Ipai language traditionally spoken by the Ipai people in the Santa Ysabel region of Southern California.
|
E1013820
|
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: Santa Ysabel Ipai | Statement: [Ipai, hasDialect, Santa Ysabel Ipai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Ysabel Ipai Context triple: [Ipai, hasDialect, Santa Ysabel Ipai]
-
A.
Ossorio
Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
-
B.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
C.
San Pascual
San Pascual is a coastal municipality in the province of Batangas in the Philippines, known for its mix of residential communities and industrial facilities.
-
D.
San Pascual
San Pascual is a coastal municipality in the Philippine province of Masbate known for its island landscapes and fishing-based local economy.
-
E.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
- 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: Santa Ysabel Ipai Triple: [Ipai, hasDialect, Santa Ysabel Ipai]
Generated description
Santa Ysabel Ipai is a specific dialect of the Ipai language traditionally spoken by the Ipai people in the Santa Ysabel region of Southern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Ysabel Ipai Target entity description: Santa Ysabel Ipai is a specific dialect of the Ipai language traditionally spoken by the Ipai people in the Santa Ysabel region of Southern California.
-
A.
Ossorio
Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
-
B.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
C.
San Pascual
San Pascual is a coastal municipality in the province of Batangas in the Philippines, known for its mix of residential communities and industrial facilities.
-
D.
San Pascual
San Pascual is a coastal municipality in the Philippine province of Masbate known for its island landscapes and fishing-based local economy.
-
E.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:38 p.m.