Triple
T15843613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhumadian |
E384158
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Luohe |
E376752
|
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: Luohe | Statement: [Zhumadian, borders, Luohe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luohe Context triple: [Zhumadian, borders, Luohe]
-
A.
Luohe
chosen
Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport and industrial hub.
-
B.
Heihe
Heihe is a northeastern Chinese border city in Heilongjiang province, located opposite the Russian city of Blagoveshchensk and known as a key hub for Sino-Russian trade and cross-border relations.
-
C.
Lengshuijiang
Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
-
D.
Yuzhou
Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
-
E.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
- 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_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.