Triple
T11813892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhandup |
E280946
|
entity |
| Predicate | connectedBy |
P37
|
FINISHED |
| Object | LBS Marg |
E935086
|
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: LBS Marg | Statement: [Bhandup, connectedBy, LBS Marg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBS Marg Context triple: [Bhandup, connectedBy, LBS Marg]
-
A.
LBS Marg
chosen
LBS Marg is a major arterial road in Mumbai, India, running through several suburbs and serving as a key commercial and transport corridor.
-
B.
LBSU
LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
-
C.
LBSF
LBSF is the ICAO airport code for Sofia Airport, the main international airport serving Bulgaria’s capital city, Sofia.
-
D.
L&S
L&S is the College of Letters and Science at the University of Wisconsin–Madison, the university’s largest and broadest academic division encompassing the arts, humanities, social sciences, and natural sciences.
-
E.
L&S
L&S is the College of Letters and Science at the University of California, Berkeley, the university’s largest and most academically diverse college encompassing the arts, humanities, social sciences, and natural sciences.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5cba708819097467bb7aca7fc65 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131a01aa48190bf5a70759ac886f6 |
completed | April 28, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:42 p.m.