Triple
T15868902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koutsovlachs |
E384781
|
entity |
| Predicate | usedAsEthnicLabel |
P104545
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Koutsovlachs, usedAsEthnicLabel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsEthnicLabel Context triple: [Koutsovlachs, usedAsEthnicLabel, true]
-
A.
usedAsEthnicLabelIn
chosen
Indicates that something is employed as a term or label to identify or refer to an ethnic group in a particular context.
-
B.
isUsedByEthnicGroup
Indicates that something (such as an object, practice, or resource) is utilized or employed by a particular ethnic group.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
E.
usesEthnonymForSelfDesignation
Indicates that an entity refers to itself using an ethnonym (a name of an ethnic group) as its own self-designation.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.