Triple
T30887527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanaa Governorate |
E786806
|
entity |
| Predicate | surroundsCapitalOf |
P170272
|
FINISHED |
| Object | Yemen |
—
|
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: Yemen | Statement: [Sanaa Governorate, surroundsCapitalOf, Yemen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundsCapitalOf Context triple: [Sanaa Governorate, surroundsCapitalOf, Yemen]
-
A.
capitalOfCountryContained
Indicates that a city serves as the capital of a country that is geographically contained within a specified larger region or entity.
-
B.
hasCapitalCityWithin
Indicates that a specified capital city is geographically located within the boundaries of a given region or country.
-
C.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
-
D.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
E.
basedInCapital
Indicates that an entity is located or has its main base of operations in a capital city.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692071d00819083948e17acfe2644 |
completed | May 3, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:49 p.m.