Triple
T1760004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Stadium |
E38633
|
entity |
| Predicate | hasStatueNearby |
P3449
|
FINISHED |
| Object | Red Grange statue |
—
|
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: Red Grange statue | Statement: [Memorial Stadium, hasStatueNearby, Red Grange statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatueNearby Context triple: [Memorial Stadium, hasStatueNearby, Red Grange statue]
-
A.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
hasStatueNickname
Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
-
C.
hasAttractionNearby
chosen
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
D.
statueSubjectRequirement
Indicates that a statue must depict or be associated with a specific required subject or type of subject.
-
E.
statuePolicy
Indicates a policy or set of rules governing the creation, placement, maintenance, or treatment of statues.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.