Triple
T12758669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goregaon |
E304927
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Malad |
E268095
|
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: Malad | Statement: [Goregaon, adjacentTo, Malad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malad Context triple: [Goregaon, adjacentTo, Malad]
-
A.
Malad
chosen
Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
-
B.
Maladeta
Maladeta is a prominent peak in the central Pyrenees of Spain, known for its glaciated massif and proximity to Aneto, the highest mountain in the range.
-
C.
Malumfashi
Malumfashi is a town and local government area in northern Nigeria known for its role as an administrative and commercial center within Katsina State.
-
D.
Małdyty
Małdyty is a village and administrative center in northern Poland, situated in the Warmian-Masurian Voivodeship and known for its proximity to the region’s lakes and forests.
-
E.
Malad East
Malad East is a residential and commercial neighborhood in the western suburbs of Mumbai, India, known for its mixed urban development and connectivity to major city hubs.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c9c93248190b77c7d229da64ffb |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.