Triple
T13404955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelasgiotis |
E319927
|
entity |
| Predicate | hasNotableCityRole |
P27764
|
FINISHED |
| Object | Larissa as major Thessalian center |
—
|
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: Larissa as major Thessalian center | Statement: [Pelasgiotis, hasNotableCityRole, Larissa as major Thessalian center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCityRole Context triple: [Pelasgiotis, hasNotableCityRole, Larissa as major Thessalian center]
-
A.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
B.
hasMajorCityRole
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
-
C.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
D.
hasNotablePoliticalRoleIn
Indicates that an entity holds or has held a significant political position, function, or influence within a specified context or jurisdiction.
-
E.
hasCapitalRole
Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.