Triple
T14556237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennes Metro |
E341548
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Henri Fréville station
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
|
E1111444
|
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: Henri Fréville station | Statement: [Rennes Metro, hasStation, Henri Fréville station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Fréville station Context triple: [Rennes Metro, hasStation, Henri Fréville station]
-
A.
Beaurepaire station
Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
-
B.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
C.
Edgar Quinet station
Edgar Quinet station is a Paris Métro station on the Left Bank, serving the Montparnasse area in the 14th arrondissement.
-
D.
Malesherbes station
Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
-
E.
Malesherbes station
Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
- 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: Henri Fréville station Triple: [Rennes Metro, hasStation, Henri Fréville station]
Generated description
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henri Fréville station Target entity description: Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
-
A.
Beaurepaire station
Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
-
B.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
C.
Edgar Quinet station
Edgar Quinet station is a Paris Métro station on the Left Bank, serving the Montparnasse area in the 14th arrondissement.
-
D.
Malesherbes station
Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
-
E.
Malesherbes station
Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c3d1d881909ed7e75aae7b08d9 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:23 a.m.