Triple
T19821867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmedabad North area |
E476213
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Sabarmati |
—
|
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: Sabarmati | Statement: [Ahmedabad North area, hasLocality, Sabarmati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabarmati Context triple: [Ahmedabad North area, hasLocality, Sabarmati]
-
A.
Sabarmati River
chosen
The Sabarmati River is a major river in western India that flows through the city of Ahmedabad in Gujarat and holds significant historical importance due to its association with Mahatma Gandhi and the Indian independence movement.
-
B.
Sharda River
The Sharda River is a major Himalayan river in northern India that flows along the India–Nepal border and is an important source of irrigation and hydropower in the region.
-
C.
Swati
Swati is a Hindu lunar mansion (nakshatra) associated with independence, flexibility, and the deity Vayu, the god of wind.
-
D.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
-
E.
Dahisar River
The Dahisar River is a small urban river in the northern part of Mumbai, India, that flows through the suburb of Dahisar and has been heavily affected by pollution and encroachment.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654ffb37c8190be540a793befe16c |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.