Triple
T17026973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zombor |
E413088
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Zombor |
E413088
|
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: Zombor | Statement: [Zombor, historicalName, Zombor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zombor Context triple: [Zombor, historicalName, Zombor]
-
A.
Zombor
chosen
Zombor is a historic town in present-day Serbia that once served as an important administrative and cultural center in the Habsburg-era Kingdom of Hungary.
-
B.
Zorbau
Zorbau is a small municipality in the German state of Saxony-Anhalt, situated near the town of Weißenfels.
-
C.
Zombodze
Zombodze is a royal settlement in Eswatini historically associated with the Swazi monarchy and the birthplace of King Sobhuza II.
-
D.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
-
E.
Zvenigora
Zvenigora is a 1928 Soviet silent film by Ukrainian director Alexander Dovzhenko, celebrated for its poetic, avant-garde style and exploration of Ukrainian history and folklore.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d5ed388190871aa738cac04b65 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.