Triple
T16236955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predrag |
E394139
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Peca |
E650928
|
NE 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: Peca | Statement: [Predrag, hasShortForm, Peca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peca Context triple: [Predrag, hasShortForm, Peca]
-
A.
Pech
Pech is a district (Ortsteil) of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Pacanne
Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
-
C.
Pero
chosen
Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
-
D.
Pero
Pero is a West Chadic language spoken in parts of Nigeria.
-
E.
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455bb23881909c4cb4c1439d2bc5 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed8cbe48190be68ccade55211ad |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.