Triple
T29276968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEDA |
E742269
|
entity |
| Predicate | chairpersonOfBoard |
P95788
|
FINISHED |
| Object | President of the Philippines |
—
|
NE NERFINISHED |
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: President of the Philippines | Statement: [NEDA, chairpersonOfBoard, President of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairpersonOfBoard Context triple: [NEDA, chairpersonOfBoard, President of the Philippines]
-
A.
chairperson
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
-
B.
hasBoardChairperson
chosen
Indicates that an entity has a specific person serving as the chairperson of its board.
-
C.
chairpersonAlsoServesAs
Indicates that the person who holds the role of chairperson simultaneously serves in an additional official role or capacity within the same organization or context.
-
D.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
E.
chairpersonUsuallyFrom
Indicates that the person serving as chairperson typically originates from or is selected from the specified group, organization, or category.
- F. None of above.
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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665122c9c8190bc72315f4ad39fa1 |
completed | May 2, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:51 p.m.