Triple
T3515470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner Field |
E74296
|
entity |
| Predicate | openedAsOlympicStadium |
P47611
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Turner Field, openedAsOlympicStadium, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsOlympicStadium Context triple: [Turner Field, openedAsOlympicStadium, 1996]
-
A.
openedForOlympics
chosen
Indicates that something was opened or inaugurated specifically in preparation for or in conjunction with the Olympic Games.
-
B.
openedAsSportsVenue
Indicates that a place or facility began its operation specifically for hosting sports events or activities.
-
C.
stadiumOpeningForGames
Indicates that a stadium is being opened or made available specifically for hosting games or sporting events.
-
D.
stadiumOpeningYear
Indicates the calendar year in which a stadium was officially opened for use.
-
E.
mainStadiumLaterName
Indicates that the main stadium associated with an entity was later renamed to the specified new name.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.