Triple
T11335127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Gujarat |
E268451
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Mahi River |
E445386
|
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: Mahi River | Statement: [Central Gujarat, hasRiver, Mahi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahi River Context triple: [Central Gujarat, hasRiver, Mahi River]
-
A.
Mahi River
chosen
The Mahi River is a major west-flowing river in western India that traverses Madhya Pradesh, Rajasthan, and Gujarat before emptying into the Arabian Sea.
-
B.
Mahur River
Mahur River is a river flowing through the hilly Dima Hasao district in the Indian state of Assam.
-
C.
Nyamiha River
The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
-
D.
Narus River
The Narus River is a seasonal watercourse in northeastern Uganda that sustains wildlife and vegetation within Kidepo Valley National Park’s otherwise arid landscape.
-
E.
Pasimoni River
The Pasimoni River is a tributary waterway in the Amazon Basin that feeds into the Casiquiare canal, contributing to the natural connection between the Orinoco and Amazon river systems.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db383cc8190b1c65d202785838a |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 8, 2026, 9:33 p.m.