Triple
T21396730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illanun |
E527804
|
entity |
| Predicate | hasExonym |
P4705
|
FINISHED |
| Object | Lanun |
—
|
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: Lanun | Statement: [Illanun, hasExonym, Lanun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanun Context triple: [Illanun, hasExonym, Lanun]
-
A.
Lunang
Lunang is a district-level area within Indonesia’s Pesisir Selatan Regency in West Sumatra, known for its rural coastal and agricultural landscape.
-
B.
Ilanon
chosen
Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
-
C.
Wetar-Dai
Wetar-Dai is an Austronesian language variety spoken on Wetar Island in Indonesia, closely related to other Central Malayo-Polynesian languages.
-
D.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
-
E.
Sam’al
Sam’al was an important Iron Age city-state and archaeological site in the Syro-Anatolian region, known for its monumental architecture and distinctive Aramaic and Luwian inscriptions.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b11a2aec8190a60e53b90d0823b1 |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.