Triple
T25156888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rent: Filmed Live on Broadway |
E626336
|
entity |
| Predicate | recordingLocationBorough |
P87309
|
FINISHED |
| Object | Manhattan |
—
|
NE NERFINISHED |
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: Manhattan | Statement: [Rent: Filmed Live on Broadway, recordingLocationBorough, Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingLocationBorough Context triple: [Rent: Filmed Live on Broadway, recordingLocationBorough, Manhattan]
-
A.
recordedInBorough
chosen
Indicates that an event or activity was recorded as having taken place within a specific borough.
-
B.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
C.
positionInBorough
Indicates that one entity is located within or belongs to the geographic area of a specific borough.
-
D.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
E.
hasBoroughOrNeighborhood
Indicates that a place is located within, or associated with, a specific borough or neighborhood.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:30 a.m.