Triple
T28696288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libyans |
E729424
|
entity |
| Predicate | majorCityInCountry |
P193999
|
FINISHED |
| Object | Benghazi |
—
|
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: Benghazi | Statement: [Libyans, majorCityInCountry, Benghazi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCityInCountry Context triple: [Libyans, majorCityInCountry, Benghazi]
-
A.
modernCityCorrespondsToCapital
Indicates that a modern city serves as, or corresponds to, the capital of a given political or administrative entity.
-
B.
nearestCapitalCity
Indicates that one city is the geographically closest capital city to a given location or entity compared to all other capital cities.
-
C.
motherCityOf
Indicates that one city is considered the primary, originating, or foundational city in relation to another city, often as its source, protector, or central authority.
-
D.
capitalCityOfCountry
Indicates that a city serves as the official capital of a specified country.
-
E.
majorCityLocatedOn
Indicates that a major city is situated directly on or along a specified geographic feature, such as a river, coast, or lake.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 28, 2026, 5:39 a.m.