Triple
T7212046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temeswar |
E149427
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Temeschburg |
E408997
|
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: Temeschburg | Statement: [Temeswar, alternativeName, Temeschburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temeschburg Context triple: [Temeswar, alternativeName, Temeschburg]
-
A.
Târgoviște
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
B.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
C.
Temesvár
chosen
Temesvár is the historical name for Timișoara, a major city in western Romania that served as an important military and administrative center in the Habsburg Monarchy.
-
D.
Elizavetgrad
Elizavetgrad was the former name of the city now known as Kropyvnytskyi, a regional center in central Ukraine that was part of the Russian Empire at the time of Grigory Zinoviev’s birth.
-
E.
Mangalia
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96f99088190a085476bcfca26fd |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfcec3448190ab29c3742aa167ae |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.