Triple
T18982115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morvi |
E464452
|
entity |
| Predicate | roadDistanceTo |
P7750
|
FINISHED |
| Object | Jamnagar |
—
|
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: Jamnagar | Statement: [Morvi, roadDistanceTo, Jamnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamnagar Context triple: [Morvi, roadDistanceTo, 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.
Bhadohi
Bhadohi is a city in Uttar Pradesh, India, renowned as a major center for carpet weaving and often referred to as the "Carpet City" of the country.
-
C.
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.
-
D.
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.
-
E.
Sarabhanga
Sarabhanga is an ascetic sage in the Hindu epic Ramayana, known for his encounter with Rama in the Aranya Kanda and his renunciation of the mortal body to attain higher spiritual realms.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.