Triple
T14953663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgeron |
E372862
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Mielec |
—
|
NE NERFINISHED |
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: Mielec | Statement: [Montgeron, hasTwinTown, Mielec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mielec Context triple: [Montgeron, hasTwinTown, Mielec]
-
A.
Mielec
chosen
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
-
B.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
C.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
-
D.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
E.
Kluczbork
Kluczbork is a town in southern Poland known as a local administrative, cultural, and economic center in the Opole region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
Created at: April 10, 2026, 2:40 a.m.