Triple
T29513279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Schwarzenberg |
E748715
|
entity |
| Predicate | governingDynastyContext |
P172414
|
FINISHED |
| Object | Habsburg dynasty |
—
|
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: Habsburg dynasty | Statement: [Count of Schwarzenberg, governingDynastyContext, Habsburg dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingDynastyContext Context triple: [Count of Schwarzenberg, governingDynastyContext, Habsburg dynasty]
-
A.
governedPolityThroughDynasty
Indicates that a person or group exercised governing authority over a polity specifically by means of holding power within a particular dynasty.
-
B.
dynastyContext
Indicates the historical or cultural dynasty within which an entity, event, or relationship is situated or contextualized.
-
C.
dynasticContext
Indicates the historical or political circumstances defined by a particular ruling dynasty under which the related entities or events are situated.
-
D.
reignInDynasty
Indicates that a person’s reign or rule occurs within the context of a specific dynasty.
-
E.
rulingDynasties
chosen
Indicates that one entity served as the ruling dynasty governing or controlling another entity (such as a state, region, or polity) during a particular historical 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: April 28, 2026, 4:34 p.m.