Triple
T2655258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmet Catch |
E54592
|
entity |
| Predicate | passDistance |
P7750
|
FINISHED |
| Object | 32 yards |
—
|
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: 32 yards | Statement: [Helmet Catch, passDistance, 32 yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passDistance Context triple: [Helmet Catch, passDistance, 32 yards]
-
A.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
B.
passesUnder
Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
-
C.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
-
D.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
E.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.