Triple
T7866698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladakh Range |
E182633
|
entity |
| Predicate | passesInclude |
P1393
|
FINISHED |
| Object | Chang La |
E373692
|
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: Chang La | Statement: [Ladakh Range, passesInclude, Chang La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chang La Context triple: [Ladakh Range, passesInclude, Chang La]
-
A.
Chang La
chosen
Chang La is a high-altitude mountain pass in the Indian Himalayas, known as one of the world’s highest motorable roads and a key route toward the Pangong Lake region in Ladakh.
-
B.
Kangchungtse
Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Tillangchong
Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
-
E.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5615a38c8190b11af9fe5b2e1422 |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:54 p.m.