Triple
T6804471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herstal |
E156268
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Clichy |
E393898
|
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: Clichy | Statement: [Herstal, hasTwinTown, Clichy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clichy Context triple: [Herstal, hasTwinTown, Clichy]
-
A.
Clichy
chosen
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.
-
B.
Aubervilliers
Aubervilliers is a densely populated suburban commune in the northeastern outskirts of Paris, known for its industrial past and cultural diversity.
-
C.
Clignancourt
Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
-
D.
Courbevoie
Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business district.
-
E.
Asnières-sur-Seine
Asnières-sur-Seine is a suburban commune in the northwestern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ea459c819095388218d53c250a |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf883201d481909efd2f57e852a175 |
completed | April 3, 2026, 9:28 a.m. |
Created at: March 27, 2026, 2:16 p.m.