Triple
T13666202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jin (state) |
E327125
|
entity |
| Predicate | dividedInto |
P747
|
FINISHED |
| Object | Zhao (state) |
E185649
|
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: Zhao (state) | Statement: [Jin (state), dividedInto, Zhao (state)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhao (state) Context triple: [Jin (state), dividedInto, Zhao (state)]
-
A.
state of Zhao
chosen
The state of Zhao was a major Chinese feudal kingdom during the Warring States period, known for its powerful cavalry, military reforms, and role in the political fragmentation preceding the Qin unification.
-
B.
Zeng state
The Zeng state was a minor ancient Chinese vassal state during the Zhou dynasty, known primarily from rich archaeological finds such as the Tomb of Marquis Yi.
-
C.
Zhaoxiang
Zhaoxiang is a metro station in Shanghai, China, serving passengers on the city's Line 17.
-
D.
Bié Province
Bié Province is a central Angolan province known for its highland terrain, agricultural activity, and strategic location bordering several other provinces.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.