Triple
T11444037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Mumbai Monorail) |
E271216
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Parel |
E647086
|
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: Parel | Statement: [Line 1 (Mumbai Monorail), servesArea, Parel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parel Context triple: [Line 1 (Mumbai Monorail), servesArea, Parel]
-
A.
Parel
chosen
Parel is a historic neighborhood in central Mumbai, India, that evolved from one of the original seven islands of Bombay into a major commercial and residential hub.
-
B.
Carrel
Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
-
C.
Aparri
Aparri is a coastal municipality in the province of Cagayan in the Philippines, known historically as a major port and fishing town at the mouth of the Cagayan River.
-
D.
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
E.
Pallett
Pallett is the surname of Canadian composer, violinist, and singer-songwriter Owen Pallett, known for their intricate orchestral pop music and film scores.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3afe7fc8190acc8c803ff5efe5a |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.