Triple
T12506651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Târnava Mare River |
E298964
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Odorheiu Secuiesc |
E928188
|
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: Odorheiu Secuiesc | Statement: [Târnava Mare River, flowsThrough, Odorheiu Secuiesc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odorheiu Secuiesc Context triple: [Târnava Mare River, flowsThrough, Odorheiu Secuiesc]
-
A.
Odorheiu Secuiesc
chosen
Odorheiu Secuiesc is a town in central Romania known for its significant Székely Hungarian community and cultural heritage.
-
B.
Târgu Secuiesc
Târgu Secuiesc is a small town in eastern Transylvania, Romania, known for its significant Székely Hungarian community and traditional crafts.
-
C.
Turnu Măgurele
Turnu Măgurele is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
D.
Zimnicea
Zimnicea is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
E.
Eforie
Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ea59d20819099021f36fc430856 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 8, 2026, 9:57 p.m.