Triple
T8812399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabelo de los Reyes |
E209697
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Isabelo |
E220178
|
NE FINISHED |
How this triple was built (2 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: Isabelo | Statement: [Isabelo de los Reyes, givenName, Isabelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabelo Context triple: [Isabelo de los Reyes, givenName, Isabelo]
-
A.
Isabelo
chosen
Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
-
B.
Bauan
Bauan is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots, marine sanctuaries, and industrial facilities.
-
C.
Island Surigaonon
Island Surigaonon is a regional dialect of the Surigaonon language spoken primarily in island communities of Surigao in the Philippines.
-
D.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
E.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5feed07881909bbe116ae359346a |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab68ff308190b37b2202e7ccbab3 |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:45 p.m.