Triple
T30872253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Özgüç |
E786372
|
entity |
| Predicate | meaningInTurkish |
P171056
|
FINISHED |
| Object | inner strength |
—
|
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: inner strength | Statement: [Özgüç, meaningInTurkish, inner strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInTurkish Context triple: [Özgüç, meaningInTurkish, inner strength]
-
A.
meaningInArabic
Indicates that one entity expresses the meaning or translation of another entity in the Arabic language.
-
B.
meaningInLanguage
chosen
Indicates that an expression or symbol has a particular meaning or interpretation within a specified language.
-
C.
etMeaning
Indicates that one entity expresses or conveys the semantic content or intended sense of another entity (such as a word, phrase, or symbol).
-
D.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
E.
meaningInSwedish
Indicates that one entity expresses the meaning or translation of another entity in the Swedish language.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 8:48 p.m.