Triple
T22611008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burqin County |
E566700
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Hemu Village |
—
|
NE NERFINISHED |
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: Hemu Village | Statement: [Burqin County, hasTouristAttraction, Hemu Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hemu Village Context triple: [Burqin County, hasTouristAttraction, Hemu Village]
-
A.
Hemu Village
chosen
Hemu Village is a scenic, traditional village in China’s Xinjiang region, renowned for its wooden houses, autumn colors, and views of the surrounding Altay mountains and rivers.
-
B.
Tihar Village
Tihar Village is a locality in West Delhi, India, known primarily for its proximity to the high-security Tihar Jail complex.
-
C.
Hargobinangun village
Hargobinangun village is a settlement near Mount Merapi in Yogyakarta, Indonesia, known for encompassing the popular mountain tourism destination of Kaliurang.
-
D.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Rikhawdar
Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ea291c8190ba73ba678089f75d |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.