Triple
T2353775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jivaroan |
E47506
|
entity |
| Predicate | hasProposedRelation |
P24663
|
FINISHED |
| Object |
Macro-Jibaroan
Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
|
E257658
|
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: Macro-Jibaroan | Statement: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macro-Jibaroan Context triple: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
-
A.
Macaxeira
Macaxeira is a neighborhood in the city of Recife, Brazil.
-
B.
Mamanguape
Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
-
C.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
D.
Yakan
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
E.
Maranao
The Maranao are a predominantly Muslim ethnolinguistic group in the southern Philippines known for their rich artistic traditions, including okir woodcarving and the epic Darangen.
- 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: Macro-Jibaroan Triple: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
Generated description
Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macro-Jibaroan Target entity description: Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
-
A.
Macaxeira
Macaxeira is a neighborhood in the city of Recife, Brazil.
-
B.
Mamanguape
Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
-
C.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
D.
Yakan
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
E.
Maranao
The Maranao are a predominantly Muslim ethnolinguistic group in the southern Philippines known for their rich artistic traditions, including okir woodcarving and the epic Darangen.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abd0d813dc8190aa331cdca0b75eca |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9633ce3c81908581e7e0f8211ac1 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae971aa3bc8190b0b8b216106dca90 |
completed | March 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9795cf048190bc7a01ef86c12138 |
completed | March 9, 2026, 9:49 a.m. |
Created at: March 4, 2026, 7:54 p.m.