Triple
T23534690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezbet El-Nakhl |
E576666
|
entity |
| Predicate | countryCapitalMetroArea |
P111393
|
FINISHED |
| Object | Cairo metropolitan area |
—
|
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: Cairo metropolitan area | Statement: [Ezbet El-Nakhl, countryCapitalMetroArea, Cairo metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalMetroArea Context triple: [Ezbet El-Nakhl, countryCapitalMetroArea, Cairo metropolitan area]
-
A.
countryCapitalMetropolitanArea
chosen
Indicates that a specified metropolitan area serves as the capital region of a given country.
-
B.
capitalCityAreaOf
Indicates that one entity is the geographic area covered by the capital city of another entity.
-
C.
capitalAreaOf
Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
-
D.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
E.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae14ae3c8190aa2714ea07a4658a |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.