Triple
T7673322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetum |
E173797
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Galoli language |
E231079
|
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: Galoli language | Statement: [Tetum, closelyRelatedTo, Galoli language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galoli language Context triple: [Tetum, closelyRelatedTo, Galoli language]
-
A.
Galoli language
chosen
The Galoli language is an Austronesian language spoken primarily in East Timor, notable for its role in local communication and cultural identity.
-
B.
Godoberi language
The Godoberi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by the Godoberi people in the Republic of Dagestan, Russia.
-
C.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
D.
Dolgan language
The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
-
E.
Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e06e948190b1ef2e754604ac5a |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22f74f481909498391bfaf23428 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.