Triple
T6869274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neretva |
E158495
|
entity |
| Predicate | languageNameSerbianCyrillic |
P50300
|
FINISHED |
| Object | Неретва |
—
|
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: Неретва | Statement: [Neretva, languageNameSerbianCyrillic, Неретва]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageNameSerbianCyrillic Context triple: [Neretva, languageNameSerbianCyrillic, Неретва]
-
A.
nameInSerbianCyrillic
chosen
Indicates that an entity’s name is written in the Serbian Cyrillic script.
-
B.
SerbianName
Indicates that an entity has a name that is of Serbian origin or used in the Serbian language.
-
C.
localNameInCroatian
Indicates that the specified name is the local or native name of an entity when expressed in the Croatian language.
-
D.
languageOnAustrianSide
Indicates that a particular language is used or present on the Austrian side of a border, context, or interaction.
-
E.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.