Triple
T28797067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benghazi metropolitan area |
E727112
|
entity |
| Predicate | rankInLibyaByPopulation |
P174705
|
FINISHED |
| Object | second-largest urban area |
—
|
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: second-largest urban area | Statement: [Benghazi metropolitan area, rankInLibyaByPopulation, second-largest urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInLibyaByPopulation Context triple: [Benghazi metropolitan area, rankInLibyaByPopulation, second-largest urban area]
-
A.
populationRankInLiberia
Indicates the relative position of an entity in terms of population size compared to other entities within Liberia.
-
B.
areaRankInLiberia
Indicates the relative position of an entity when all entities in Liberia are ordered by their area size.
-
C.
timeInLibya
Indicates that an entity spent or was present for a period of time in Libya.
-
D.
statusInLibya
Indicates the legal, social, or political condition or standing that an entity holds within the context of Libya.
-
E.
claimedLimitByLibya
Indicates that a specified limit, boundary, or extent is asserted or claimed by Libya as its own.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 28, 2026, 6:25 a.m.