Triple
T16305889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanggula Mountains |
E395908
|
entity |
| Predicate | TibetanName |
P744
|
FINISHED |
| Object | Dangla |
E1206813
|
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: Dangla | Statement: [Tanggula Mountains, TibetanName, Dangla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dangla Context triple: [Tanggula Mountains, TibetanName, Dangla]
-
A.
Dangla
chosen
Dangla is another name for the Tanglha mountain range, a high-altitude range in the central Tibetan Plateau known for its rugged peaks and significant role in regional climate and hydrology.
-
B.
Delingha
Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
-
C.
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.
-
D.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
E.
Amdanga
Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d5619081909d0f8157cc487877 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da444408190b770055d84060f4d |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.