Triple
T22169752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumul Rebellion |
E547887
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Hami |
—
|
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: Hami | Statement: [Kumul Rebellion, location, Hami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hami Context triple: [Kumul Rebellion, location, Hami]
-
A.
Hami
chosen
Hami is a city in eastern Xinjiang, China, historically known as an important Silk Road oasis and for producing the famous Hami melon.
-
B.
Hushe
Hushe is a remote village in Pakistan’s Karakoram region that serves as a key gateway for trekkers and climbers heading toward major peaks and glaciers.
-
C.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
D.
Rushan
Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
-
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 (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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.