Triple
T18755659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Maharashtra |
E458642
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Beed |
—
|
NE NERFINISHED |
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: Beed | Statement: [Central Maharashtra, hasMajorCity, Beed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beed Context triple: [Central Maharashtra, hasMajorCity, Beed]
-
A.
Beed
chosen
Beed is a prominent city in the Marathwada region of Maharashtra, India, known as an important local administrative and commercial center.
-
B.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
C.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
-
D.
Buldhana
Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
-
E.
Bhiwadi
Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f20b808190833e29830bfed937 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.