Triple
T11905290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biag ni Lam-ang |
E283256
|
entity |
| Predicate | heroBirth |
P102164
|
FINISHED |
| Object | Lam-ang speaks immediately after birth |
—
|
LITERAL 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: Lam-ang speaks immediately after birth | Statement: [Biag ni Lam-ang, heroBirth, Lam-ang speaks immediately after birth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heroBirth Context triple: [Biag ni Lam-ang, heroBirth, Lam-ang speaks immediately after birth]
-
A.
brandBirthplaceOf
Indicates the place where a brand was originally founded or created.
-
B.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
-
C.
bornDuring
Indicates that an entity’s birth occurred within the temporal span of a specified event, period, or time interval.
-
D.
honorsPersonBornIn
Indicates that one entity pays tribute or recognition to a person who was born in a specified place or time.
-
E.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
- F. None of above. chosen
Provenance (4 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.