Triple
T11736158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adour |
E279030
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Arros
Arros is a river in southwestern France that flows through the Hautes-Pyrénées and Gers departments before joining the Adour.
|
E943458
|
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: Arros | Statement: [Adour, majorTributary, Arros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arros Context triple: [Adour, majorTributary, Arros]
-
A.
Nasi
Nasi is the Hebrew title for a high-ranking leader or prince, historically used for the head of the Jewish community or Sanhedrin.
-
B.
Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
-
C.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
D.
Arroz y tartana
Arroz y tartana is a realist novel by Spanish writer Vicente Blasco Ibáñez that portrays the social ambitions and decline of a bourgeois family in late 19th-century Valencia.
-
E.
Farina
Farina is a memorable child character from the classic "Our Gang" (also known as "The Little Rascals") comedy film series, known for his expressive personality and comedic misadventures.
- 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: Arros Triple: [Adour, majorTributary, Arros]
Generated description
Arros is a river in southwestern France that flows through the Hautes-Pyrénées and Gers departments before joining the Adour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arros Target entity description: Arros is a river in southwestern France that flows through the Hautes-Pyrénées and Gers departments before joining the Adour.
-
A.
Nasi
Nasi is the Hebrew title for a high-ranking leader or prince, historically used for the head of the Jewish community or Sanhedrin.
-
B.
Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
-
C.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
D.
Arroz y tartana
Arroz y tartana is a realist novel by Spanish writer Vicente Blasco Ibáñez that portrays the social ambitions and decline of a bourgeois family in late 19th-century Valencia.
-
E.
Farina
Farina is a memorable child character from the classic "Our Gang" (also known as "The Little Rascals") comedy film series, known for his expressive personality and comedic misadventures.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05a44dcb88190a0bb57b0c8fef6b9 |
completed | April 28, 2026, 6:57 a.m. |
Created at: April 8, 2026, 9:41 p.m.