Triple
T1400951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Mack Stadium |
E30779
|
entity |
| Predicate | namedConnieMackStadiumUntil |
P27754
|
FINISHED |
| Object | demolition |
—
|
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: demolition | Statement: [Connie Mack Stadium, namedConnieMackStadiumUntil, demolition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedConnieMackStadiumUntil Context triple: [Connie Mack Stadium, namedConnieMackStadiumUntil, demolition]
-
A.
ALTeamBallpark
Indicates that an American League baseball team is associated with or plays its home games in a particular ballpark.
-
B.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
-
C.
oneOfOldestMLBStadiums
Indicates that the subject is among the oldest Major League Baseball stadiums still in existence or use.
-
D.
BostonUsedAlternatePark
Indicates that Boston utilized a different or substitute parking facility instead of its usual one.
-
E.
stadiumOpeningYear
Indicates the calendar year in which a stadium was officially opened for use.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39da20c8190b9c82cc4ad747c66 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c13270d8819081d8ee1be34cabf5 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:59 p.m.