Triple
T15843611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhumadian |
E384158
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Pingdingshan |
E201921
|
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: Pingdingshan | Statement: [Zhumadian, borders, Pingdingshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pingdingshan Context triple: [Zhumadian, borders, Pingdingshan]
-
A.
Pingdingshan
chosen
Pingdingshan is a prefecture-level industrial city in central China known for its significant coal mining and energy production.
-
B.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
-
C.
Huangpi
Huangpi is a district in Wuhan, Hubei Province, China, historically part of the Qing Empire and known today as a suburban area combining urban development with rural landscapes.
-
D.
Jingmen
Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
-
E.
Ezhou
Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03ac77081908f2b169d7d26b318 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:50 a.m.