Triple
T2651105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympia-Schwimmstadion |
E53898
|
entity |
| Predicate | hasPoolLength |
P41060
|
FINISHED |
| Object | 50 metres |
—
|
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: 50 metres | Statement: [Olympia-Schwimmstadion, hasPoolLength, 50 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoolLength Context triple: [Olympia-Schwimmstadion, hasPoolLength, 50 metres]
-
A.
hasPool
Indicates that one entity possesses, includes, or is equipped with a swimming pool.
-
B.
hasPoolBar
Indicates that a place or facility includes a bar located in or directly adjacent to a swimming pool.
-
C.
hasPrimaryPool
Indicates that an entity is associated with or designated to use a particular pool as its main or default pool.
-
D.
hasSecondaryPool
Indicates that an entity possesses an additional, non-primary pool or reservoir associated with it.
-
E.
numberOfPools
Indicates the total count of pools associated with or contained by a given 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd92f5f508190b4ca396c3f399e93 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.