Triple
T3453904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine National Park, Gulf of Kutch |
E72855
|
entity |
| Predicate | locatedNearCity |
P3883
|
FINISHED |
| Object | Jamnagar |
E24552
|
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: Jamnagar | Statement: [Marine National Park, Gulf of Kutch, locatedNearCity, Jamnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamnagar Context triple: [Marine National Park, Gulf of Kutch, locatedNearCity, Jamnagar]
-
A.
Jamnagar
chosen
Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
-
B.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
C.
Yamunanagar
Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
-
D.
Chhapra
Chhapra is a city in the Indian state of Bihar, known as the administrative headquarters of Saran district and a regional commercial and transportation hub along the Ganges River.
-
E.
Jalgaon
Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa457fc8190824ca00254e962f9 |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402ca92ac819081fd3b3c49a13e0a |
completed | March 13, 2026, 12:27 p.m. |
Created at: March 8, 2026, 3:16 p.m.