Triple
T13340225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Redessan |
E317804
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Redessan
Redessan is a commune in the Gard department of southern France, located near Nîmes.
|
E1034570
|
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: Redessan | Statement: [canton of Redessan, containsAdministrativeTerritorialEntity, Redessan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redessan Context triple: [canton of Redessan, containsAdministrativeTerritorialEntity, Redessan]
-
A.
Redes
Redes is a 1936 Mexican social-realist film, renowned for its depiction of fishermen’s struggles and its influential score by composer Silvestre Revueltas.
-
B.
Tailo
Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
-
C.
Drap
Drap is a small commune in the Alpes-Maritimes department of southeastern France, situated near Nice on the French Riviera.
-
D.
Tweants
Tweants is a Low Saxon regional dialect spoken in the Twente region of the eastern Netherlands.
-
E.
Blanzy
Blanzy is a commune in the Saône-et-Loire department of eastern France, known historically for its coal mining and its proximity to the town of Montceau-les-Mines.
- 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: Redessan Triple: [canton of Redessan, containsAdministrativeTerritorialEntity, Redessan]
Generated description
Redessan is a commune in the Gard department of southern France, located near Nîmes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Redessan Target entity description: Redessan is a commune in the Gard department of southern France, located near Nîmes.
-
A.
Redes
Redes is a 1936 Mexican social-realist film, renowned for its depiction of fishermen’s struggles and its influential score by composer Silvestre Revueltas.
-
B.
Tailo
Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
-
C.
Drap
Drap is a small commune in the Alpes-Maritimes department of southeastern France, situated near Nice on the French Riviera.
-
D.
Tweants
Tweants is a Low Saxon regional dialect spoken in the Twente region of the eastern Netherlands.
-
E.
Blanzy
Blanzy is a commune in the Saône-et-Loire department of eastern France, known historically for its coal mining and its proximity to the town of Montceau-les-Mines.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f3ecf4c8190bb9eee699859dc08 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f72018c4848190941732e3a938278a |
completed | May 3, 2026, 10:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720bf04548190833af70061b017a1 |
completed | May 3, 2026, 10:17 a.m. |
Created at: April 9, 2026, 9:31 p.m.