Triple
T21029246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Θήβα |
E518021
|
entity |
| Predicate | αρχαία_ελληνική_ονομασία |
P20952
|
FINISHED |
| Object | Θῆβαι |
—
|
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: Θῆβαι | Statement: [Θήβα, αρχαία_ελληνική_ονομασία, Θῆβαι]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: αρχαία_ελληνική_ονομασία Context triple: [Θήβα, αρχαία_ελληνική_ονομασία, Θῆβαι]
-
A.
ancientNameOf
chosen
Indicates that one entity is the historical or ancient name by which the other entity was formerly known.
-
B.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
C.
ancientNameMeaning
Indicates that an entity’s ancient or historical name carries a particular meaning or interpretation.
-
D.
hasOfficialNameInGreek
Indicates that an entity has an official or formally recognized name expressed in the Greek language.
-
E.
ancientEgyptianName
Indicates that one entity is the ancient Egyptian name or designation historically used for the other entity.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.