Triple
T6564899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uripiv-Wala-Rano-Atchin |
E153877
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object |
Vao
Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
|
E603844
|
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: Vao | Statement: [Uripiv-Wala-Rano-Atchin, neighboringLanguage, Vao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vao Context triple: [Uripiv-Wala-Rano-Atchin, neighboringLanguage, Vao]
-
A.
Vongy
Vongy is a locality in southeastern France situated along the course of the Dranse River.
-
B.
Vuvalini
The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
-
C.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
-
D.
Vayavi
Vayavi is a lesser-known figure in Hindu mythology identified as the consort of the wind god Vayu.
-
E.
Ven Te
Ven Te is the given name of Ven Te Chow, a prominent Chinese-American civil engineer and hydrologist known for his influential work in hydraulic engineering and water resources.
- 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: Vao Triple: [Uripiv-Wala-Rano-Atchin, neighboringLanguage, Vao]
Generated description
Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vao Target entity description: Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
-
A.
Vongy
Vongy is a locality in southeastern France situated along the course of the Dranse River.
-
B.
Vuvalini
The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
-
C.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
-
D.
Vayavi
Vayavi is a lesser-known figure in Hindu mythology identified as the consort of the wind god Vayu.
-
E.
Ven Te
Ven Te is the given name of Ven Te Chow, a prominent Chinese-American civil engineer and hydrologist known for his influential work in hydraulic engineering and water resources.
- 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.