Triple
T11648199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Archdiocese of Malabo |
E276830
|
entity |
| Predicate | isCenteredIn |
P54634
|
FINISHED |
| Object | nation’s capital of Equatorial Guinea |
—
|
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: nation’s capital of Equatorial Guinea | Statement: [Roman Catholic Archdiocese of Malabo, isCenteredIn, nation’s capital of Equatorial Guinea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCenteredIn Context triple: [Roman Catholic Archdiocese of Malabo, isCenteredIn, nation’s capital of Equatorial Guinea]
-
A.
hasCenterIn
Indicates that something is located, based, or primarily focused within a specified central place or area.
-
B.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
-
C.
isPositionedAs
Indicates that one entity is placed or arranged in a specific spatial or conceptual position relative to another.
-
D.
centered
chosen
Indicates that one entity is positioned at or around the central point of another entity or reference frame.
-
E.
isMediaCenterOf
Indicates that a location or facility serves as the primary hub for managing, producing, or distributing media content for a particular organization, region, or system.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.