Triple
T3477790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumbini |
E73415
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Butwal |
E321959
|
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: Butwal | Statement: [Lumbini, nearCity, Butwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butwal Context triple: [Lumbini, nearCity, Butwal]
-
A.
Butwal
chosen
Butwal is a major commercial and transport hub city in southern Nepal, located at the foothills of the Siwalik range.
-
B.
Dhala
Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
-
C.
Kharagauli
Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
-
D.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
E.
Doi Pui
Doi Pui is a prominent mountain in northern Thailand known for its scenic views, Hmong hill-tribe village, and proximity to Chiang Mai.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5b7584819096eadd1c5268eab1 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681822488190a9876a21236f9aa3 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.