Triple
T29679341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ergamenes |
E750908
|
entity |
| Predicate | possibleSameAs |
P104759
|
FINISHED |
| Object | Arkamani I |
—
|
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: Arkamani I | Statement: [Ergamenes, possibleSameAs, Arkamani I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleSameAs Context triple: [Ergamenes, possibleSameAs, Arkamani I]
-
A.
samePersonAs
Indicates that two referenced entities are in fact the very same individual, not just similar or related.
-
B.
alternativeIdentification
Indicates that one entity serves as an alternative identifier or reference for another entity.
-
C.
hasAlternativeNameForSameCity
Indicates that one city name is an alternative or variant name referring to the same city as another name.
-
D.
similarCredentialAs
Indicates that one credential is considered equivalent or closely matching another in terms of content, level, or recognition.
-
E.
likelyVariantOf
chosen
Indicates that one entity is probably a variant, version, or alternative form of another entity, based on available evidence or similarity.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 7:09 p.m.