Triple
T14985848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dosmoche |
E373697
|
entity |
| Predicate | celebratedIn |
P7822
|
FINISHED |
| Object | Leh |
E281102
|
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: Leh | Statement: [Dosmoche, celebratedIn, Leh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leh Context triple: [Dosmoche, celebratedIn, Leh]
-
A.
Leh
chosen
Leh is a historic town in the Indian union territory of Ladakh, known for its high-altitude Himalayan landscape, Buddhist monasteries, and role as a former trading hub on the Silk Route.
-
B.
LEH
LEH was the stock ticker symbol for Lehman Brothers, the global investment bank whose 2008 bankruptcy became a central event in the global financial crisis.
-
C.
Dharamshala
Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
-
D.
Rangpo
Rangpo is a small town in the Indian state of Sikkim, known as a key gateway to the region and an important transit and trade point near the Sikkim–West Bengal border.
-
E.
Kailashahar
Kailashahar is a town in the northeastern Indian state of Tripura, known historically as a former capital of the princely kingdom of Tripura and now an important local administrative and cultural center.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133571008190b7e7867208095b90 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 10, 2026, 2:52 a.m.