Triple
T3237553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspire Tower |
E67890
|
entity |
| Predicate | functionDuringEvent |
P47533
|
FINISHED |
| Object | giant torch for 2006 Asian Games |
—
|
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: giant torch for 2006 Asian Games | Statement: [Aspire Tower, functionDuringEvent, giant torch for 2006 Asian Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringEvent Context triple: [Aspire Tower, functionDuringEvent, giant torch for 2006 Asian Games]
-
A.
inForceDuringEvent
Indicates that a rule, condition, or state is actively valid and applicable throughout the duration of a specified event.
-
B.
functionDuringRevolution
Indicates that an entity performs or serves a particular function specifically during a revolutionary period or event.
-
C.
functionDuringQing
Indicates that a function, role, or activity occurs or is carried out during the Qing dynasty period.
-
D.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
E.
dealtWithEvent
Indicates that an entity has handled, responded to, or otherwise taken action to address a particular event.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef29bf48190a9aa3a39f0138428 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:08 p.m.