Triple
T17794789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Strand |
E444260
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Orgeval |
—
|
NE NERFINISHED |
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: Orgeval | Statement: [Paul Strand, residence, Orgeval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orgeval Context triple: [Paul Strand, residence, Orgeval]
-
A.
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
B.
Orgeval
chosen
Orgeval is a commune in the Yvelines department of north-central France, known for its residential character and proximity to the Paris metropolitan area.
-
C.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
-
D.
Chédigny
Chédigny is a small French village in the Indre Valley, renowned for its picturesque streets lined with thousands of roses and its designation as a "Remarkable Garden."
-
E.
Miromesnil
Miromesnil is a Paris Métro station in the 8th arrondissement, serving as an interchange between lines 9 and 13 near the Élysée Palace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48799f9608190bc97264c849278a0 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.