Triple
T747277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Opera |
E15370
|
entity |
| Predicate | previousHome |
P18609
|
FINISHED |
| Object | original Metropolitan Opera House on Broadway |
—
|
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 Metropolitan Opera House on Broadway | Statement: [Metropolitan Opera, previousHome, original Metropolitan Opera House on Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousHome Context triple: [Metropolitan Opera, previousHome, original Metropolitan Opera House on Broadway]
-
A.
homeTo
Indicates that a place serves as the primary location, residence, or habitat for a person, group, or thing.
-
B.
previousGround
Indicates that one entity is the immediately preceding ground or surface state relative to another in a sequence or progression.
-
C.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
D.
previousRoute
Indicates that one route directly precedes another in an ordered sequence of routes.
-
E.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.