Triple
T13856249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien line K |
E333071
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Mitry-Mory |
E66407
|
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: Mitry-Mory | Statement: [Transilien line K, servesTown, Mitry-Mory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitry-Mory Context triple: [Transilien line K, servesTown, Mitry-Mory]
-
A.
Mitry-Mory
chosen
Mitry-Mory is a commune in the northeastern suburbs of Paris, France, known for its proximity to Charles de Gaulle Airport and its role as a residential and logistical hub in the Île-de-France region.
-
B.
Raz de Sein
Raz de Sein is a treacherous strait off the coast of Brittany in northwestern France, notorious for its strong tidal currents and hazardous navigation conditions.
-
C.
Roubion
Roubion is a river in southeastern France that flows through the Drôme department, including the town of Montélimar.
-
D.
Roubion
Roubion is a small mountain village and commune in the Alpes-Maritimes department of southeastern France, known for its medieval character and location in the southern Alps.
-
E.
L’Ecrin
L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6c0c3c8190911b56b20c9eb955 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.