Triple
T11357596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leova |
E268999
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Cahul |
E802957
|
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: Cahul | Statement: [Leova, roadConnectionTo, Cahul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cahul Context triple: [Leova, roadConnectionTo, Cahul]
-
A.
Cahul
chosen
Cahul is a city in southern Moldova known as a regional economic center and spa destination famed for its mineral waters.
-
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.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
D.
Bacău
Bacău is a city in eastern Romania, serving as the administrative center of Bacău County and an important regional industrial and cultural hub in the historical region of Moldavia.
-
E.
Tecuci
Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea419afc8190b3a93141d015ebdf |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08f0d9d0c8190a7b84e647c7491e9 |
completed | April 28, 2026, 10:42 a.m. |
Created at: April 8, 2026, 9:33 p.m.