Triple
T6564501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aneityum |
E153867
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Aneityum language
The Aneityum language is an Oceanic Austronesian language spoken by the indigenous people of Aneityum Island in Vanuatu.
|
E603800
|
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: Aneityum language | Statement: [Aneityum, hasLanguage, Aneityum language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aneityum language Context triple: [Aneityum, hasLanguage, Aneityum language]
-
A.
Tepiman languages
The Tepiman languages are a group of closely related Uto-Aztecan indigenous languages spoken primarily in northern Mexico by various Tepehuán and Piman peoples.
-
B.
Eonavian language
Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Adasen language
The Adasen language is an Austronesian language spoken by the Adasen people in the Cordillera region of northern Luzon in the Philippines.
-
E.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
- 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: Aneityum language Triple: [Aneityum, hasLanguage, Aneityum language]
Generated description
The Aneityum language is an Oceanic Austronesian language spoken by the indigenous people of Aneityum Island in Vanuatu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aneityum language Target entity description: The Aneityum language is an Oceanic Austronesian language spoken by the indigenous people of Aneityum Island in Vanuatu.
-
A.
Tepiman languages
The Tepiman languages are a group of closely related Uto-Aztecan indigenous languages spoken primarily in northern Mexico by various Tepehuán and Piman peoples.
-
B.
Eonavian language
Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Adasen language
The Adasen language is an Austronesian language spoken by the Adasen people in the Cordillera region of northern Luzon in the Philippines.
-
E.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:52 p.m.