Triple
T4694157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per |
E104102
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Petar |
E154824
|
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: Petar | Statement: [Per, hasCognate, Petar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petar Context triple: [Per, hasCognate, Petar]
-
A.
Petar
chosen
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
B.
Predrag
Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
-
C.
Saša
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
-
D.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
E.
Rastko
Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63aff42c8190a924029647b81909 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03c093ac8190869aab6abcfd571f |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.