Triple
T20664930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toulouse Metro Line A |
E507858
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Fontaine-Lestang
Fontaine-Lestang is a metro station in Toulouse, France, serving passengers on the city's Line A.
|
E1485462
|
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: Fontaine-Lestang | Statement: [Toulouse Metro Line A, hasStation, Fontaine-Lestang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontaine-Lestang Context triple: [Toulouse Metro Line A, hasStation, Fontaine-Lestang]
-
A.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
C.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
D.
Fontaine-la-Mallet
Fontaine-la-Mallet is a commune in the Seine-Maritime department of northern France, situated near the city of Le Havre in the Normandy region.
-
E.
Ugny-l'Équipée
Ugny-l'Équipée is a small French commune located in the Somme department in northern France.
- 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: Fontaine-Lestang Triple: [Toulouse Metro Line A, hasStation, Fontaine-Lestang]
Generated description
Fontaine-Lestang is a metro station in Toulouse, France, serving passengers on the city's Line A.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fontaine-Lestang Target entity description: Fontaine-Lestang is a metro station in Toulouse, France, serving passengers on the city's Line A.
-
A.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
C.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
D.
Fontaine-la-Mallet
Fontaine-la-Mallet is a commune in the Seine-Maritime department of northern France, situated near the city of Le Havre in the Normandy region.
-
E.
Ugny-l'Équipée
Ugny-l'Équipée is a small French commune located in the Somme department in northern France.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8e823608190b996eaeb48838aed |
completed | May 17, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_6a09cacf98f08190b8c7348e92e1bdc7 |
completed | May 17, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cb491e3c81908d369f66507dd809 |
completed | May 17, 2026, 2:06 p.m. |
Created at: April 16, 2026, 11:44 a.m.