Triple
T9298352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolae Ciupercă |
E223695
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ciupercă |
E223695
|
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: Ciupercă | Statement: [Nicolae Ciupercă, familyName, Ciupercă]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciupercă Context triple: [Nicolae Ciupercă, familyName, Ciupercă]
-
A.
Ciupercă
chosen
Ciupercă is a Romanian surname borne by various notable individuals, including figures in the country’s military and political history.
-
B.
Carepa
Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
-
C.
Rumuosi
Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
-
D.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
E.
Răut
Răut is a river in Moldova that flows through the central part of the country before joining the Dniester.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f39d06708190a85dcf3f35681d92 |
completed | April 4, 2026, 11:18 a.m. |
Created at: March 30, 2026, 7:36 p.m.