Triple
T17826668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashmir |
E445134
|
entity |
| Predicate | hasPass |
P11208
|
FINISHED |
| Object | Zoji La |
—
|
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: Zoji La | Statement: [Kashmir, hasPass, Zoji La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoji La Context triple: [Kashmir, hasPass, Zoji La]
-
A.
Zoji La
chosen
Zoji La is a high mountain pass in the Himalayas that serves as a crucial road link between the Kashmir Valley and the Ladakh region in India.
-
B.
Larat
Larat is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
-
C.
Jibal
Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
-
D.
Lolak
Lolak is a town in North Sulawesi, Indonesia, serving as the administrative and political center of Bolaang Mongondow Regency.
-
E.
Chouburja
Chouburja is a notable architectural section of Lohagarh Fort in Bharatpur, Rajasthan, recognized for its historic defensive and structural significance.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.