Triple
T16535499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagneux |
E401678
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Cachan |
E486790
|
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: Cachan | Statement: [Bagneux, borderedBy, Cachan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cachan Context triple: [Bagneux, borderedBy, Cachan]
-
A.
Cachan
chosen
Cachan is a suburban commune in the southern outskirts of Paris, France, known for hosting engineering and higher education institutions such as the École normale supérieure Paris-Saclay.
-
B.
Fafe
Fafe is a municipality and city in northern Portugal known for its scenic landscapes, traditional granite architecture, and role as a stage in the Rally de Portugal.
-
C.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
-
D.
Alsterdorf
Alsterdorf is a residential quarter in the Hamburg-Nord borough of Hamburg, Germany, known for its green spaces and proximity to the Alster River.
-
E.
Achmer
Achmer is a district of the town of Bramsche in Lower Saxony, Germany, known for its rural character and local railway connections.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.