Triple
T15550836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T13 Express |
E370737
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Mareil-Marly
Mareil-Marly is a small suburban commune in the Yvelines department of north-central France, located west of Paris.
|
E1163265
|
NE FINISHED |
How this triple was built (4 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: Mareil-Marly | Statement: [Tramway T13 Express, serves, Mareil-Marly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mareil-Marly Context triple: [Tramway T13 Express, serves, Mareil-Marly]
-
A.
Bonnes-Mares
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
-
B.
Jaunay-Marigny
Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
-
C.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
D.
Marsannay
Marsannay is a Burgundy wine appellation at the northern end of the Côte de Nuits, known for producing red, white, and rosé wines.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mareil-Marly Triple: [Tramway T13 Express, serves, Mareil-Marly]
Generated description
Mareil-Marly is a small suburban commune in the Yvelines department of north-central France, located west of Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mareil-Marly Target entity description: Mareil-Marly is a small suburban commune in the Yvelines department of north-central France, located west of Paris.
-
A.
Bonnes-Mares
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
-
B.
Jaunay-Marigny
Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
-
C.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
D.
Marsannay
Marsannay is a Burgundy wine appellation at the northern end of the Côte de Nuits, known for producing red, white, and rosé wines.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- F. None of above. chosen
Provenance (5 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:08 a.m.