Triple
T11321125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malad |
E268095
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Malad West |
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 West | Statement: [Malad, hasPart, Malad West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malad West Context triple: [Malad, hasPart, Malad West]
-
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.
Bad Saarow
Bad Saarow is a German spa town in Brandenburg known for its thermal baths and lakeside setting on the Scharmützelsee.
-
C.
Bad Ragaz
Bad Ragaz is a Swiss spa and resort town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
-
D.
Satantango
Satantango is a 1994 Hungarian black-and-white art film directed by Béla Tarr, renowned for its seven-hour runtime, long takes, and bleak, atmospheric portrayal of a collapsing rural community.
-
E.
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.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.