Triple
T23901662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Juby |
E601060
|
entity |
| Predicate | historicalAdministrationCenter |
P80438
|
FINISHED |
| Object | Tarfaya |
—
|
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: Tarfaya | Statement: [Cape Juby, historicalAdministrationCenter, Tarfaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalAdministrationCenter Context triple: [Cape Juby, historicalAdministrationCenter, Tarfaya]
-
A.
historicAdministrativeCentre
chosen
Indicates that a place served as the main administrative or governmental center for a region or jurisdiction during a past historical period.
-
B.
administrativeCenterForEmpire
Indicates that a location served as the main administrative center or capital for a particular empire.
-
C.
previousAdministrativeCentreOf
Indicates that an entity once served as the administrative centre of another entity in the past, but no longer holds that role.
-
D.
historicalCenterFor
Indicates that one entity has served as a central or focal place of historical significance, activity, or development for another entity.
-
E.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:26 p.m.