Triple
T9589847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demchugdongrub |
E231387
|
entity |
| Predicate | regionOfActivity |
P82
|
FINISHED |
| Object | Chahar |
E360252
|
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: Chahar | Statement: [Demchugdongrub, regionOfActivity, Chahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chahar Context triple: [Demchugdongrub, regionOfActivity, Chahar]
-
A.
Chahar
chosen
Chahar was a historical province and region in northern China, bordering Inner Mongolia, that became a key area of Japanese military expansion and control during the Second Sino-Japanese War.
-
B.
Chahardangeh
Chahardangeh is a city in Iran’s Tehran province, serving as one of the urban centers within Islamshahr County.
-
C.
Miyāneh
Miyāneh is a city in East Azerbaijan Province in northwestern Iran, known as a regional agricultural and transportation hub.
-
D.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
E.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f32e688190bb13bccfa5031f16 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1791e330881908a6ad31a5bdbccec |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:06 p.m.