Triple
T15339267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen metropolitan area |
E366746
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Malaunay |
E1033273
|
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: Malaunay | Statement: [Rouen metropolitan area, hasPart, Malaunay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaunay Context triple: [Rouen metropolitan area, hasPart, Malaunay]
-
A.
Malaunay
chosen
Malaunay is a small commune in the Normandy region of northern France, situated near the city of Rouen.
-
B.
Rufino
Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
-
C.
Medardo Vitier
Medardo Vitier was a Cuban philosopher, educator, and essayist known for his influential work on ethics and national identity in Cuban thought.
-
D.
Palau Montaner
Palau Montaner is a notable Modernisme-era building in Barcelona, Spain, designed by the renowned Catalan architect Lluís Domènech i Montaner.
-
E.
Redon
Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.