Triple
T18599697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusof Ishak Secondary School |
E454585
|
entity |
| Predicate | namedForPositionHeldByHonouree |
P16867
|
FINISHED |
| Object | President of Singapore |
—
|
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: President of Singapore | Statement: [Yusof Ishak Secondary School, namedForPositionHeldByHonouree, President of Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForPositionHeldByHonouree Context triple: [Yusof Ishak Secondary School, namedForPositionHeldByHonouree, President of Singapore]
-
A.
honoursPosition
Indicates that one entity holds or is recognized with an honorary or distinguished position in relation to another entity.
-
B.
honoreePositionStart
Indicates the point in time when an entity begins serving in the role or position for which it is being honored.
-
C.
namedForEventAssociatedWithHonoree
Indicates that something is named in recognition of an event that is closely associated with the honoree.
-
D.
namedForPoliticalRole
chosen
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
-
E.
honoureeNationality
Indicates that the honoured person has the specified nationality.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.