Triple
T8703477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Zhili–Fengtian War |
E206588
|
entity |
| Predicate | statusOfBeijingGovernment |
P61882
|
FINISHED |
| Object | contested during conflict |
—
|
LITERAL 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: contested during conflict | Statement: [First Zhili–Fengtian War, statusOfBeijingGovernment, contested during conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfBeijingGovernment Context triple: [First Zhili–Fengtian War, statusOfBeijingGovernment, contested during conflict]
-
A.
governmentStatus
chosen
Indicates the type or condition of governance or political authority that an entity currently holds or is subject to.
-
B.
governmentOutcome
Indicates the result, consequence, or effect produced by a government’s decisions, actions, or policies.
-
C.
isOneOfChinaFourMunicipalities
Indicates that the subject is one of the four directly administered municipalities of China (Beijing, Shanghai, Tianjin, or Chongqing).
-
D.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
-
E.
administrativeStatusDuringQing
Indicates the administrative status or classification an entity held specifically during the Qing dynasty period.
- F. None of above.
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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.