Triple
T682303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Estates |
E13208
|
entity |
| Predicate | hadPoliticalStatus |
P5316
|
FINISHED |
| Object | semi-autonomous |
—
|
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: semi-autonomous | Statement: [Imperial Estates, hadPoliticalStatus, semi-autonomous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPoliticalStatus Context triple: [Imperial Estates, hadPoliticalStatus, semi-autonomous]
-
A.
electoralStatus
Indicates the current state or condition of an entity in relation to an election process (e.g., running, elected, defeated, or not a candidate).
-
B.
hasPoliticalCharacteristic
chosen
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
hasPolity
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
D.
hadSpecialStatusIn
Indicates that an entity possessed a particular special, exceptional, or non-standard status within a specified context or time period.
-
E.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06f9ee88190a2d757aacd8e3f5b |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.