Triple
T7314412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiralty Islands languages |
E168172
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Drehet language
The Drehet language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
|
E655631
|
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: Drehet language | Statement: [Admiralty Islands languages, hasMember, Drehet language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drehet language Context triple: [Admiralty Islands languages, hasMember, Drehet language]
-
A.
Drehu language
The Drehu language is an Oceanic language spoken primarily on Lifou Island in New Caledonia, notable for its rich oral tradition and status as one of the territory’s recognized regional languages.
-
B.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
C.
Tokodede language
Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
-
D.
Dargwa language
The Dargwa language is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
- 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: Drehet language Triple: [Admiralty Islands languages, hasMember, Drehet language]
Generated description
The Drehet language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drehet language Target entity description: The Drehet language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
-
A.
Drehu language
The Drehu language is an Oceanic language spoken primarily on Lifou Island in New Caledonia, notable for its rich oral tradition and status as one of the territory’s recognized regional languages.
-
B.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
C.
Tokodede language
Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
-
D.
Dargwa language
The Dargwa language is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec03a7248190beb1dec612725e5b |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56f4aa0819096d955e2ce298299 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6bf79d48190a7c30e3513e12070 |
completed | March 28, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e78b09488190a361bdd50bd28b71 |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 3:02 p.m.