Triple
T14350765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javel – André Citroën |
E355844
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Javel district |
E206229
|
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: Javel district | Statement: [Javel – André Citroën, namedAfter, Javel district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javel district Context triple: [Javel – André Citroën, namedAfter, Javel district]
-
A.
Javel district
chosen
Javel district is a neighborhood in southwestern Paris known historically for its industrial past and riverside location along the Seine.
-
B.
Omate District
Omate District is an administrative district located within Peru's southern Andean region, known for its rural communities and highland landscapes.
-
C.
Damous District
Damous District is an administrative district in northern Algeria, located within Tipaza Province along the Mediterranean coast.
-
D.
Tinta District
Tinta District is an administrative district in Peru’s Cusco Region, located within Canchis Province and known for its Andean highland geography and traditional Quechua-speaking communities.
-
E.
Mapo District
Mapo District is a vibrant administrative and cultural area in western Seoul, South Korea, known for neighborhoods like Hongdae and its lively arts, nightlife, and dining scenes.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550aef908190a7ec49e409f92dc7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:14 a.m.