Triple
T7385239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Residence of the President of the Republic of China |
E170362
|
entity |
| Predicate | typeOfOccupant |
P42542
|
FINISHED |
| Object | elected head of state |
—
|
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: elected head of state | Statement: [Official Residence of the President of the Republic of China, typeOfOccupant, elected head of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOccupant Context triple: [Official Residence of the President of the Republic of China, typeOfOccupant, elected head of state]
-
A.
fieldOfOccupant
Indicates the specific professional or academic field in which an occupant is engaged or associated.
-
B.
politicalStatusOfOccupant
chosen
Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
-
C.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
D.
occupants
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
-
E.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1efe1308190b96eefbff56140be |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.