Triple
T23343145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Nepal |
E591785
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dharan |
—
|
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: Dharan | Statement: [Eastern Nepal, contains, Dharan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dharan Context triple: [Eastern Nepal, contains, Dharan]
-
A.
Dharan
chosen
Dharan is a major city in eastern Nepal known for its role as a former British Gurkha recruitment center and as a gateway to the eastern hills.
-
B.
Doraha
Doraha is a town in the Indian state of Punjab, known for its location along the Grand Trunk Road and its proximity to the city of Ludhiana.
-
C.
Chanhudaro
Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
-
D.
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
E.
Nepalgunj
Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983431f08190b0078728d44872a8 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.