Triple
T21000074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russ Chandler Stadium |
E517260
|
entity |
| Predicate | hasChairbackSeats |
P86635
|
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: [Russ Chandler Stadium, hasChairbackSeats, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChairbackSeats Context triple: [Russ Chandler Stadium, hasChairbackSeats, yes]
-
A.
hasBackrest
chosen
Indicates that one entity (typically a seat or seating object) includes or is equipped with a supporting backrest.
-
B.
hasRetractableSeating
Indicates that an entity is equipped with seating that can be folded away, collapsed, or otherwise retracted when not in use.
-
C.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
D.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
E.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:52 p.m.