Triple
T3215573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massy |
E67386
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Palaiseau |
E109522
|
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: Palaiseau | Statement: [Massy, locatedNear, Palaiseau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palaiseau Context triple: [Massy, locatedNear, Palaiseau]
-
A.
Palaiseau
chosen
Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
-
B.
Neuilly-sur-Seine
Neuilly-sur-Seine is an affluent suburban commune just west of central Paris, known for its upscale residential neighborhoods and proximity to major business districts like La Défense.
-
C.
Garches
Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
-
D.
Boulogne-Billancourt
Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
-
E.
Bourg-la-Reine
Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059b1c950819091ec6706fb06d2e6 |
completed | March 22, 2026, 9:05 p.m. |
Created at: March 8, 2026, 3:07 p.m.