Triple
T11576447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapelle |
E274515
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | La Goutte d'Or |
E849398
|
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 Goutte d'Or | Statement: [Chapelle, adjacentTo, La Goutte d'Or]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Goutte d'Or Context triple: [Chapelle, adjacentTo, La Goutte d'Or]
-
A.
Goutte d'Or
chosen
Goutte d'Or is a vibrant, historically working-class neighborhood in Paris known for its diverse immigrant communities, bustling markets, and rich North and West African cultural influences.
-
B.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
-
C.
Clichy
Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
-
D.
Fontenay-en-Parisis
Fontenay-en-Parisis is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Montrouge
Montrouge is a suburban commune just south of Paris, France, known for its dense urban character and proximity to the capital.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89049721081909278adfada668ef9 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ed82a548190ab9326daef78e30b |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:38 p.m.