Triple
T5671047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reds |
E124976
|
entity |
| Predicate | hadActivity |
P19746
|
FINISHED |
| Object | racing chariots in teams |
—
|
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: racing chariots in teams | Statement: [Reds, hadActivity, racing chariots in teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadActivity Context triple: [Reds, hadActivity, racing chariots in teams]
-
A.
hasActivityIn
chosen
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
hadEvent
Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
E.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.