Triple
T301713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benghazi |
E6209
|
entity |
| Predicate | wasOttomanCity |
P11279
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Benghazi, wasOttomanCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOttomanCity Context triple: [Benghazi, wasOttomanCity, true]
-
A.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
B.
historicallyInhabitedBy
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
-
C.
conqueredCity
Indicates that one entity has taken control of a city from another entity, typically through military force or domination.
-
D.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
-
E.
renamedAsConstantinopleBy
Indicates that one entity changed the name of another entity to "Constantinople."
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.