Triple
T9099698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Nassau-Hadamar |
E218120
|
entity |
| Predicate | historicalPoliticalEntityType |
P12169
|
FINISHED |
| Object | imperial county |
—
|
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: imperial county | Statement: [Count of Nassau-Hadamar, historicalPoliticalEntityType, imperial county]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPoliticalEntityType Context triple: [Count of Nassau-Hadamar, historicalPoliticalEntityType, imperial county]
-
A.
politicalEntityAtTime
Indicates that a political entity exists or holds a particular political status during a specified time period.
-
B.
formerPoliticalEntity
chosen
Indicates that an entity was once a political entity (such as a state, country, or polity) but no longer exists in that political form.
-
C.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
D.
featuresPoliticalEntity
Indicates that something includes, presents, or prominently involves a political entity in its content or composition.
-
E.
politicalSystemHistorical
Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.