Triple
T16305874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagqu Prefecture-level City |
E395907
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baqên County |
E1205460
|
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: Baqên County | Statement: [Nagqu Prefecture-level City, contains, Baqên County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baqên County Context triple: [Nagqu Prefecture-level City, contains, Baqên County]
-
A.
Baqên County
chosen
Baqên County is a county-level administrative division in northern Tibet, China, under the jurisdiction of Nagqu Prefecture-level city.
-
B.
Burqin County
Burqin County is a remote county in northern Xinjiang, China, known for its striking alpine scenery and as the gateway to the famous Kanas Lake tourist area.
-
C.
Qarchak County
Qarchak County is an administrative subdivision in Iran known for its rapidly growing urban population and proximity to the capital, Tehran.
-
D.
Gê'gyai County
Gê'gyai County is a sparsely populated county-level division in western Tibet, China, known for its high-altitude plateau landscapes and pastoral communities.
-
E.
Burang County
Burang County is a remote border county in southwestern Tibet, China, known for encompassing the sacred Mount Kailash and Lake Manasarovar, important pilgrimage sites for several religions.
- 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_6a00260151908190b83f700a1c7c6419 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.