Triple
T9007212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constantia |
E215373
|
entity |
| Predicate | nameGivenTo |
P63
|
FINISHED |
| Object | city of Constanța |
E40914
|
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: city of Constanța | Statement: [Constantia, nameGivenTo, city of Constanța]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Constanța Context triple: [Constantia, nameGivenTo, city of Constanța]
-
A.
Constanța
chosen
Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
-
B.
Craiova
Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
-
C.
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.
-
D.
Bucharest
Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
-
E.
Otopeni
Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bdc5fc819081015f4adacf9fd4 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffda389988190beb6b6ea9352efcc |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:05 p.m.