Triple
T12971535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanimbar Islands |
E321408
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Selaru |
E648907
|
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: Selaru | Statement: [Tanimbar Islands, hasIsland, Selaru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selaru Context triple: [Tanimbar Islands, hasIsland, Selaru]
-
A.
Selaru
chosen
Selaru is an Austronesian language spoken by the Selaru people on Selaru Island in Indonesia’s Tanimbar archipelago.
-
B.
Selaaru
Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
-
C.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
D.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
E.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:36 p.m.