Triple
T5070526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop Drop and Roll!!! |
E114265
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Broadway |
E346260
|
NE 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: Broadway | Statement: [Stop Drop and Roll!!!, hasPart, Broadway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broadway Context triple: [Stop Drop and Roll!!!, hasPart, Broadway]
-
A.
Broadway
Broadway is a major thoroughfare in Cambridge, Massachusetts, running through the city center and connecting key academic, residential, and commercial areas.
-
B.
Broadway
Broadway is a major thoroughfare in Oakland, California, serving as a key commercial and transportation corridor through the city’s downtown.
-
C.
Broadway
Broadway is a major east–west thoroughfare in Vancouver, British Columbia, known as one of the city’s primary commercial and transit corridors.
-
D.
Broadway
chosen
Broadway is a style of American musical theater characterized by its theatrical song-and-dance numbers, dramatic storytelling, and association with New York City's major commercial stage productions.
-
E.
Broadway
Broadway is a major north–south thoroughfare on Chicago’s North Side known for its dense mix of shops, restaurants, and neighborhood commercial districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10bb740819099797240c9f35eb9 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.