Triple
T1459942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Play (1982 college football) |
E31487
|
entity |
| Predicate | numberOfLaterals |
P29020
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [The Play (1982 college football), numberOfLaterals, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLaterals Context triple: [The Play (1982 college football), numberOfLaterals, 5]
-
A.
numberOfColumnsOnFlanks
Indicates the count of columns located on the flanking sides of a structure or object.
-
B.
numberOfSides
Indicates the relationship that specifies how many sides a given object or shape has.
-
C.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
-
D.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
E.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.