Triple
T25622685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 NCAA Division I men's basketball tournament |
E642342
|
entity |
| Predicate | firstFourLocation |
P191077
|
FINISHED |
| Object | University of Dayton Arena |
—
|
NE NERFINISHED |
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: University of Dayton Arena | Statement: [2017 NCAA Division I men's basketball tournament, firstFourLocation, University of Dayton Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFourLocation Context triple: [2017 NCAA Division I men's basketball tournament, firstFourLocation, University of Dayton Arena]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
-
C.
firstFourNodes
Indicates that the relationship selects or identifies the first four nodes in an ordered collection or structure.
-
D.
firstEnumerationLocation
Indicates the location where an entity was first officially enumerated, recorded, or listed.
-
E.
placesFirst
Indicates that one entity arranges, ranks, or positions another entity before others in order or sequence.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 21, 2026, 5:06 p.m.