Triple
T17592611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hechi |
E428482
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Baise |
—
|
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: Baise | Statement: [Hechi, borderedBy, Baise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baise Context triple: [Hechi, borderedBy, Baise]
-
A.
Baise
chosen
Baise is a prefecture-level city in western Guangxi, China, known for its mountainous landscapes, ethnic diversity, and historical significance in the Chinese revolution.
-
B.
Pontcharra
Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
-
C.
Louingui
Louingui is a town located in the Pool Department of the Republic of the Congo.
-
D.
Bouyon
Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
-
E.
Champlan
Champlan is a small commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e89acc81908e52138ad4f452c6 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.