Triple
T32966327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arbitration |
E843380
|
entity |
| Predicate | conventionalEnglishTitleOf |
P114637
|
FINISHED |
| Object | Epitrepontes |
—
|
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: Epitrepontes | Statement: [The Arbitration, conventionalEnglishTitleOf, Epitrepontes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conventionalEnglishTitleOf Context triple: [The Arbitration, conventionalEnglishTitleOf, Epitrepontes]
-
A.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
B.
hasTitleInEnglishOrthography
chosen
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
C.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
D.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
E.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 1:21 a.m.