Triple
T21666984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segai–Modang subgroup |
E534747
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Segai language |
—
|
NE NERFINISHED |
How this triple was built (2 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: Segai language | Statement: [Segai–Modang subgroup, hasMember, Segai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segai language Context triple: [Segai–Modang subgroup, hasMember, Segai language]
-
A.
Segai language
chosen
The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
-
B.
Tagakaulo language
Tagakaulo language is an Austronesian language spoken by the Tagakaulo people of Mindanao in the southern Philippines.
-
C.
Kapingamarangi language
The Kapingamarangi language is a Polynesian outlier language spoken primarily on Kapingamarangi Atoll in the Federated States of Micronesia.
-
D.
Serawai language
The Serawai language is an Austronesian language spoken by the Serawai ethnic group in parts of Bengkulu Province on the island of Sumatra, Indonesia.
-
E.
Teke-Kukuya language
The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0c236881909ffaefea8601b1c2 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:37 p.m.