Triple
T15619700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freising |
E375515
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Arpajon |
E332708
|
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: Arpajon | Statement: [Freising, twinnedWith, Arpajon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpajon Context triple: [Freising, twinnedWith, Arpajon]
-
A.
Arpajon
chosen
Arpajon is a commune in the Essonne department in northern France, known for its historic town center and location along the Orge River southwest of Paris.
-
B.
Matadepera
Matadepera is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its residential character and proximity to the Sant Llorenç del Munt i l'Obac Natural Park.
-
C.
Mieres
Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
-
D.
Baulmes
Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
-
E.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3b643c819093230df6cfe440b9 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.