Triple
T25265467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian imperial titulature |
E633418
|
entity |
| Predicate | centralTitle |
P162995
|
FINISHED |
| Object | Nəgusä Nägäst |
—
|
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: Nəgusä Nägäst | Statement: [Ethiopian imperial titulature, centralTitle, Nəgusä Nägäst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralTitle Context triple: [Ethiopian imperial titulature, centralTitle, Nəgusä Nägäst]
-
A.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
B.
commonTitle
Indicates that two or more entities share the same title or designation.
-
C.
standardTitle
Indicates that an entity has a primary or official title or name by which it is commonly recognized.
-
D.
centralTextSection
Indicates that one text section functions as the central or primary portion within a larger textual structure or document.
-
E.
title
Indicates that one entity serves as the formal name or designation of another entity.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 1:16 p.m.