Triple
T16552027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miron Cristea |
E402094
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Toplița |
E911188
|
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: Toplița | Statement: [Miron Cristea, placeOfBirth, Toplița]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toplița Context triple: [Miron Cristea, placeOfBirth, Toplița]
-
A.
Toplița
chosen
Toplița is a town in central Romania known for its mountainous surroundings, thermal springs, and winter sports opportunities.
-
B.
Poganja
Poganja is a minor stream in southwestern Slovenia that serves as one of the tributaries feeding the Dragonja River near the Adriatic coast.
-
C.
Topľa
Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
-
D.
Koliada
Koliada is a traditional Slavic winter festival and ritual celebration associated with the winter solstice and later with Christmas, featuring caroling, feasting, and symbolic renewal.
-
E.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc56f9081908bb8f6433a1a688d |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b87b608190950b8f14e6aceed3 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.