Triple
T8403999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Maintenon |
E198447
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Maintenon |
E258298
|
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: Maintenon | Statement: [Château de Maintenon, namedAfter, Maintenon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maintenon Context triple: [Château de Maintenon, namedAfter, Maintenon]
-
A.
Maintenon
chosen
Maintenon is a commune in northern France best known for the Château de Maintenon, once owned by Madame de Maintenon, the second wife of King Louis XIV.
-
B.
Pelasgus
Pelasgus is a figure in Greek mythology often regarded as an ancestral or eponymous hero of the Pelasgians, a pre-Hellenic people of ancient Greece.
-
C.
Medstead
Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
-
D.
Mathison
Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
-
E.
Lenola
Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb82505e0c81909549db59b7c4eb00 |
completed | March 31, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d2a17e481908c7eab4624903251 |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:04 p.m.