Triple
T11508655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House That Ruth Built |
E272851
|
entity |
| Predicate | demolishedStadium |
P10256
|
FINISHED |
| Object | original Yankee Stadium demolished in 2010 |
—
|
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: original Yankee Stadium demolished in 2010 | Statement: [The House That Ruth Built, demolishedStadium, original Yankee Stadium demolished in 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolishedStadium Context triple: [The House That Ruth Built, demolishedStadium, original Yankee Stadium demolished in 2010]
-
A.
formerStadiumClosed
Indicates that a stadium, which previously served as the home venue for an entity, has been permanently closed.
-
B.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
-
C.
demolishedOrDestroyed
Indicates that one entity has caused another entity to be torn down, ruined, or rendered unusable, typically through deliberate demolition or destructive force.
-
D.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
E.
demolished
chosen
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.