Triple
T13924049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radfan mountains |
E334815
|
entity |
| Predicate | currentCountryStatus |
P21984
|
FINISHED |
| Object | part of the Republic of Yemen |
—
|
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: part of the Republic of Yemen | Statement: [Radfan mountains, currentCountryStatus, part of the Republic of Yemen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCountryStatus Context triple: [Radfan mountains, currentCountryStatus, part of the Republic of Yemen]
-
A.
countrySpecificStatus
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
-
B.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
C.
GIStatusCountry
Indicates the status or condition of a geographic indication (GI) within a specific country.
-
D.
currentCountrySince
Indicates the date or point in time since which an entity has been in its current country (such as residence, operation, or affiliation).
-
E.
countryCurrently
chosen
Indicates that an entity is presently located in or associated with a specific country.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa6cd9881908f652538f4613f37 |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.