Triple
T28663054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annexation of Pergamon |
E725517
|
entity |
| Predicate | countryAcquiring |
P197293
|
FINISHED |
| Object | Roman Republic |
—
|
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: Roman Republic | Statement: [Annexation of Pergamon, countryAcquiring, Roman Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAcquiring Context triple: [Annexation of Pergamon, countryAcquiring, Roman Republic]
-
A.
countryImposing
Indicates that one country is applying or enforcing a measure, rule, or sanction upon another entity.
-
B.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
-
C.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
D.
repositoryCountry
Indicates the country in which a repository is located or maintained.
-
E.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
| PDg | Predicate description generation | batch_69fe86c98d688190a99d5dcb14e2dc95 |
completed | May 9, 2026, 12:58 a.m. |
Created at: April 28, 2026, 4:59 a.m.