Triple
T9577654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rote languages |
E231084
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lolein language |
E809242
|
NE FINISHED |
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: Lolein language | Statement: [Rote languages, hasPart, Lolein language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolein language Context triple: [Rote languages, hasPart, Lolein language]
-
A.
Lole language
chosen
Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
-
B.
Lemolang language
Lemolang is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
C.
Lusei language
The Lusei language is a Kuki-Chin language of the Tibeto-Burman family spoken primarily by the Lusei (Mizo) people in northeastern India, especially in Mizoram.
-
D.
Lewa language
Lewa language is an Austronesian language spoken by the Sumba people on Sumba Island in eastern Indonesia.
-
E.
Sa’och language
The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17907de488190be97e58b05b6c6f2 |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:05 p.m.