Triple
T29654300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terran |
E750225
|
entity |
| Predicate | governmentForms |
P199483
|
FINISHED |
| Object | Terran Dominion |
—
|
NE NERFINISHED |
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: Terran Dominion | Statement: [Terran, governmentForms, Terran Dominion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentForms Context triple: [Terran, governmentForms, Terran Dominion]
-
A.
governmentFormModeled
Indicates that one government form is modeled after, or structurally based on, another government form.
-
B.
governmentFormServed
Indicates that an entity has served in or held a position within a particular form or system of government.
-
C.
governmentFormUnder
Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
-
D.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
E.
governmentFormBefore
Indicates that one form of government existed prior to another form of government in a temporal sequence.
- F. None of above. chosen
Provenance (4 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
| PDg | Predicate description generation | batch_69ff3e16527c81908c8d89da704ce012 |
completed | May 9, 2026, 2 p.m. |
Created at: April 28, 2026, 6:54 p.m.