Triple
T16048835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvest Ballpark |
E389294
|
entity |
| Predicate | hasScorekeepersBooth |
P121423
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Arvest Ballpark, hasScorekeepersBooth, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScorekeepersBooth Context triple: [Arvest Ballpark, hasScorekeepersBooth, yes]
-
A.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
B.
hasScoreboardLocation
Indicates the spatial or logical position where a scoreboard is placed or associated within a given context.
-
C.
hasCollectorBooth
Indicates that an entity has an associated collector booth, typically a designated place or station where collection-related activities (such as payments, tickets, or items) are handled.
-
D.
hasBleacherSeating
Indicates that a venue or location is equipped with bleacher-style seating for spectators.
-
E.
hasBench
Indicates that one entity possesses, contains, or is equipped with a bench.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.