Triple
T14792064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picpus (Paris Métro) |
E347679
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Picpus |
E333070
|
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: Picpus | Statement: [Picpus (Paris Métro), namedAfter, Picpus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picpus Context triple: [Picpus (Paris Métro), namedAfter, Picpus]
-
A.
Picpus
chosen
Picpus is a station on the Paris Métro located in the 12th arrondissement, serving the surrounding Picpus neighborhood.
-
B.
Picpus Fathers
Picpus Fathers is a Roman Catholic religious congregation formally known as the Congregation of the Sacred Hearts of Jesus and Mary, noted for its missionary work around the world.
-
C.
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
D.
Pioppi
Pioppi is a small coastal village in southern Italy’s Cilento region, known for its traditional Mediterranean lifestyle and as a key site in the study of the Mediterranean diet.
-
E.
Piopio
Piopio is a small rural township in New Zealand’s King Country region, known for its farming community and scenic surroundings.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388fc0e08190a758a1e0a4140909 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.