Triple
T11467830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4×100 metre freestyle relay |
E271822
|
entity |
| Predicate | poolLengthStandard |
P41060
|
FINISHED |
| Object | 50-metre long course |
—
|
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-metre long course | Statement: [4×100 metre freestyle relay, poolLengthStandard, 50-metre long course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poolLengthStandard Context triple: [4×100 metre freestyle relay, poolLengthStandard, 50-metre long course]
-
A.
poolWidth
Indicates the horizontal measurement or extent of a pool from one side to the opposite side.
-
B.
poolSize
Indicates the total number of items, resources, or units available within a defined shared pool.
-
C.
hasPoolLength
chosen
Indicates that an entity (such as a pool) has a specific measured length.
-
D.
parkLength
Indicates the measured longitudinal extent or distance from one end to the other of a park.
-
E.
numberOfPools
Indicates the total count of pools associated with or contained by a given entity.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.