Triple
T28497870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talat Pasha |
E721155
|
entity |
| Predicate | countryLedDeFacto |
P3534
|
FINISHED |
| Object | Ottoman Empire |
—
|
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: Ottoman Empire | Statement: [Talat Pasha, countryLedDeFacto, Ottoman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLedDeFacto Context triple: [Talat Pasha, countryLedDeFacto, Ottoman Empire]
-
A.
countryLed
Indicates that one country serves as the leader, head, or primary directing authority over another country in a given context.
-
B.
deFactoCountry
chosen
Indicates that an entity functions as a country in practice (exercises governmental control and autonomy) even if it lacks full formal or legal recognition as a sovereign state.
-
C.
countryCurrently
Indicates that an entity is presently located in or associated with a specific country.
-
D.
countryOfficial
Indicates that an entity serves as the official or legally recognized country associated with another entity.
-
E.
capitalCountry
Indicates that one place serves as the capital city of a given country.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 28, 2026, 3:05 a.m.