Triple
T4954151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selhurst Park |
E111239
|
entity |
| Predicate | hasPitchLength |
P60145
|
FINISHED |
| Object | approximately 101 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: approximately 101 metres | Statement: [Selhurst Park, hasPitchLength, approximately 101 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPitchLength Context triple: [Selhurst Park, hasPitchLength, approximately 101 metres]
-
A.
hasPitch
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
B.
hasPitchType
Indicates that an entity is associated with, or characterized by, a specific type or category of pitch.
-
C.
lengthInSeconds
Indicates that one entity specifies the duration of another entity measured in seconds.
-
D.
numberOfPitches
Indicates the total count of pitches involved in a given event, performance, or musical segment.
-
E.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b945c0819082723712905f8295 |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6fa2d2088190ae444d3d0e47d5d2 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:32 p.m.