Triple
T5828747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 9 |
E129292
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Ranelagh
Ranelagh is a Paris Métro station in the 16th arrondissement, serving the residential area near the Bois de Boulogne.
|
E548778
|
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: Ranelagh | Statement: [Paris Métro Line 9, station, Ranelagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranelagh Context triple: [Paris Métro Line 9, station, Ranelagh]
-
A.
Ranelagh Gardens
Ranelagh Gardens is a historic ornamental pleasure garden in Chelsea, London, now part of the grounds of the Royal Hospital Chelsea and known for hosting cultural and horticultural events.
-
B.
Merrion
Merrion is a coastal suburb in Dublin, Ireland, known for its residential character and proximity to Sandymount and Dublin Bay.
-
C.
Sandymount
Sandymount is a coastal suburb on the south side of Dublin, Ireland, known for its scenic strand and residential character.
-
D.
Baronscourt
Baronscourt is a historic country estate in County Tyrone, Northern Ireland, serving as the ancestral home of the Dukes of Abercorn.
-
E.
Ballymun
Ballymun is a residential suburb on the northside of Dublin, Ireland, known for its large-scale social housing developments and subsequent urban regeneration projects.
- 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: Ranelagh Triple: [Paris Métro Line 9, station, Ranelagh]
Generated description
Ranelagh is a Paris Métro station in the 16th arrondissement, serving the residential area near the Bois de Boulogne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ranelagh Target entity description: Ranelagh is a Paris Métro station in the 16th arrondissement, serving the residential area near the Bois de Boulogne.
-
A.
Ranelagh Gardens
Ranelagh Gardens is a historic ornamental pleasure garden in Chelsea, London, now part of the grounds of the Royal Hospital Chelsea and known for hosting cultural and horticultural events.
-
B.
Merrion
Merrion is a coastal suburb in Dublin, Ireland, known for its residential character and proximity to Sandymount and Dublin Bay.
-
C.
Sandymount
Sandymount is a coastal suburb on the south side of Dublin, Ireland, known for its scenic strand and residential character.
-
D.
Baronscourt
Baronscourt is a historic country estate in County Tyrone, Northern Ireland, serving as the ancestral home of the Dukes of Abercorn.
-
E.
Ballymun
Ballymun is a residential suburb on the northside of Dublin, Ireland, known for its large-scale social housing developments and subsequent urban regeneration projects.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03467dfe48190b51757b33681bc20 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09863be3c8190bba357bf64e22917 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098d936d081909d930fc8b6b3fd67 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09947c5fc8190ba279ed0f991f9a9 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:53 p.m.