Triple
T6688647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aralle-Tabulahan language |
E152165
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Aralle
Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
|
E610791
|
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: Aralle | Statement: [Aralle-Tabulahan language, hasDialect, Aralle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aralle Context triple: [Aralle-Tabulahan language, hasDialect, Aralle]
-
A.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
B.
Arvieu
Arvieu is a rural commune in the Aveyron department of southern France, known for its scenic setting on the Lévézou plateau near major lakes and its traditional agricultural character.
-
C.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
-
D.
Arudy
Arudy is a small commune in southwestern France, known as a gateway village to the Ossau Valley in the Pyrenees.
-
E.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
- 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: Aralle Triple: [Aralle-Tabulahan language, hasDialect, Aralle]
Generated description
Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aralle Target entity description: Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
-
A.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
B.
Arvieu
Arvieu is a rural commune in the Aveyron department of southern France, known for its scenic setting on the Lévézou plateau near major lakes and its traditional agricultural character.
-
C.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
-
D.
Arudy
Arudy is a small commune in southwestern France, known as a gateway village to the Ossau Valley in the Pyrenees.
-
E.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14feb28819097bc157df8a2f96e |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8d27d388190816cfeefbe1519d8 |
completed | March 27, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9729d7881908f3c396690ffcae8 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:04 p.m.