Triple
T7270029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombes |
E161076
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | La Garenne-Colombes |
E405544
|
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: La Garenne-Colombes | Statement: [Colombes, adjacentTo, La Garenne-Colombes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Garenne-Colombes Context triple: [Colombes, adjacentTo, La Garenne-Colombes]
-
A.
La Garenne-Colombes
chosen
La Garenne-Colombes is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to the La Défense business district.
-
B.
Colombes
Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
-
C.
Cormeilles-en-Parisis
Cormeilles-en-Parisis is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and views over the Seine valley.
-
D.
Châtenay-Malabry
Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
-
E.
Rueil-Malmaison
Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae9f8bc8190a8c31cc29926919c |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20c75bf508190a812c87950cb5227 |
completed | April 5, 2026, 7:17 a.m. |
Created at: March 27, 2026, 2:58 p.m.