Triple
T1173684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 Summer Olympics |
E24968
|
entity |
| Predicate | taekwondoStatus |
P26223
|
FINISHED |
| Object | demonstration sport |
—
|
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: demonstration sport | Statement: [1988 Summer Olympics, taekwondoStatus, demonstration sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taekwondoStatus Context triple: [1988 Summer Olympics, taekwondoStatus, demonstration sport]
-
A.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
-
B.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
C.
boxingStance
Indicates the specific posture or positioning a boxer adopts while preparing to fight or engage in boxing actions.
-
D.
hasFightingStance
Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
-
E.
currentGrandMaster
Indicates that one entity is the person who currently holds the title of grand master (e.g., in a game, sport, or organization) with respect to another entity.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd52177081908c5cec8e731b836e |
completed | March 1, 2026, 10:27 p.m. |
Created at: March 1, 2026, 7:45 p.m.