Triple
T3329860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube Delta |
E70006
|
entity |
| Predicate | nearestMajorCity |
P1982
|
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: [Danube Delta, nearestMajorCity, Tulcea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulcea Context triple: [Danube Delta, nearestMajorCity, 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.
Râmnicu Sărat
Râmnicu Sărat is a town in eastern Romania, historically known as a market and military center and for the nearby former political prison that operated during the communist era.
-
D.
Iași
Iași is a major cultural, academic, and economic center in northeastern Romania, known for its historic universities, churches, and role as a former capital of the Principality of Moldavia.
-
E.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33423dc288190b71eaa1c0feb26eb |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.