Triple
T14985645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang La |
E373692
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Tangtse |
E311517
|
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: Tangtse | Statement: [Chang La, nearbySettlement, Tangtse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tangtse Context triple: [Chang La, nearbySettlement, Tangtse]
-
A.
Tangtse
chosen
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
B.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
C.
Tanggara
Tanggara is a subgroup of the Kadazan-Dusun indigenous people of Sabah, Malaysia, with its own distinct cultural and linguistic traits.
-
D.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
E.
Zongtang
Zongtang is the given name of Zuo Zongtang, a prominent 19th-century Qing dynasty statesman and military leader known in the West as General Tso.
- 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_69fe9694aa688190bbecb645c49e795e |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:52 a.m.