Triple
T14036240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schinias Olympic Rowing and Canoeing Centre |
E337717
|
entity |
| Predicate | hasWarmUpArea |
P3382
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Schinias Olympic Rowing and Canoeing Centre, hasWarmUpArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarmUpArea Context triple: [Schinias Olympic Rowing and Canoeing Centre, hasWarmUpArea, yes]
-
A.
isWarmUpFor
Indicates that one activity, event, or action serves as preparation or a preliminary phase leading into another.
-
B.
hasWarmPhase
Indicates that an entity undergoes or includes a period characterized by relatively higher temperatures or warmer conditions.
-
C.
hasWaitingArea
chosen
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
D.
hasStartingArea
Indicates that an entity is associated with, or begins from, a specific initial area or region.
-
E.
hasAreaRange
Indicates that something’s area falls within a specified minimum-to-maximum range.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.