Triple
T14714342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulcea County |
E345637
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Tulcea |
E68762
|
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: Tulcea | Statement: [Tulcea County, seat, Tulcea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulcea Context triple: [Tulcea County, seat, Tulcea]
-
A.
Tulcea
chosen
Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
-
B.
Brăila
Brăila is a major port city on the Danube River in eastern Romania, known historically as an important commercial and industrial center.
-
C.
Călărași
Călărași is a city in southeastern Romania, located near the Danube River and serving as the capital of Călărași County.
-
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.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b2fc8f88190b9bd2887149e3d68 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 1:29 a.m.