Triple
T3687480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Zheyuan |
E78258
|
entity |
| Predicate | areaOfOperations |
P710
|
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: [Song Zheyuan, areaOfOperations, Chahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chahar Context triple: [Song Zheyuan, areaOfOperations, 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.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
C.
Chaghcharan
Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
-
D.
Golestan
Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
-
E.
Khalaj
Khalaj is a distinct and archaic Turkic language spoken primarily in central Iran, notable for preserving many features lost in other Turkic languages.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.