Triple
T23108285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harda railway station |
E576237
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Harda city |
—
|
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: Harda city | Statement: [Harda railway station, serves, Harda city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harda city Context triple: [Harda railway station, serves, Harda city]
-
A.
Harda
chosen
Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
-
B.
Satna city
Satna city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
-
C.
Harda district
Harda district is an administrative district in the central Indian state of Madhya Pradesh, known for its agricultural economy and location in the Narmada River valley.
-
D.
Jaunsar-Bawar
Jaunsar-Bawar is a hilly, culturally distinct region in Uttarakhand, India, known for its Jaunsari-speaking communities, traditional architecture, and unique customs.
-
E.
Sarangpur
Sarangpur is a town in Gujarat, India, known as an important religious center for the Swaminarayan Sampradaya and a site of major Hindu temples and pilgrimage.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0c7b9c8190b1160485eae87c9b |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.