Triple
T12648146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Mumbai |
E302085
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tardeo |
E919146
|
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: Tardeo | Statement: [South Mumbai, contains, Tardeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tardeo Context triple: [South Mumbai, contains, Tardeo]
-
A.
Tardeo
chosen
Tardeo is an upscale commercial and residential neighborhood in South Mumbai, India, known for its high-rise buildings, offices, and proximity to key city landmarks.
-
B.
Tarde
Tarde is a horse racing track associated with the legendary American Thoroughbred racehorse Native Dancer.
-
C.
Tarde
Tarde is a French surname most notably associated with Gabriel Tarde, a pioneering sociologist and criminologist known for his theories of social imitation.
-
D.
La Riposa
La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
-
E.
Hastière
Hastière is a municipality in the Walloon region of southern Belgium, known for its scenic Meuse River setting and historic religious architecture.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c730b5c8190ae8dbb476e53729e |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:17 p.m.