Triple
T12516738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | diff3 |
E299207
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Bazaar |
E699673
|
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: Bazaar | Statement: [diff3, usedBy, Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bazaar Context triple: [diff3, usedBy, Bazaar]
-
A.
Bazaar
chosen
Bazaar is a distributed version control system designed for ease of use and flexible workflows, commonly used for managing source code and collaborative software development.
-
B.
Main Bazaar
Main Bazaar is a bustling central market area in Leh, Ladakh, known for its shops, eateries, and vibrant mix of local culture and tourist activity.
-
C.
English Bazaar
English Bazaar, also known as Malda, is a major town and commercial hub in the Malda district of West Bengal, India.
-
D.
Bazmark
Bazmark is an Australian film production company founded by director Baz Luhrmann, known for visually lavish and stylistically distinctive movies such as "Moulin Rouge!" and "The Great Gatsby."
-
E.
Wallabout
Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.