Triple
T1508317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio City Music Hall |
E33952
|
entity |
| Predicate | cityLandmarkID |
P29365
|
FINISHED |
| Object | LP-1146 |
—
|
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: LP-1146 | Statement: [Radio City Music Hall, cityLandmarkID, LP-1146]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityLandmarkID Context triple: [Radio City Music Hall, cityLandmarkID, LP-1146]
-
A.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
B.
touristAttractionIn
Indicates that a place functions as a tourist attraction located within a specified geographic area or entity.
-
C.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
D.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
E.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8e2dd93dc8190a78443900e8d5564 |
completed | March 5, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a88728c150819095cdcdbfcabf4249 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a8e2dbc848819084eb0d50189fa967 |
completed | March 5, 2026, 1:56 a.m. |
Created at: March 4, 2026, 7:24 p.m.