Triple
T9438372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusa timorensis |
E227576
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Javan rusa |
E204422
|
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: Javan rusa | Statement: [Rusa timorensis, commonName, Javan rusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javan rusa Context triple: [Rusa timorensis, commonName, Javan rusa]
-
A.
Javan rusa
chosen
The Javan rusa is a medium-sized deer native to Indonesia and nearby regions, known for its coarse brown coat and importance as both a game animal and a source of meat.
-
B.
Javan surili
The Javan surili is an endangered leaf-eating monkey endemic to western Java, Indonesia, known for its distinctive grey fur and reliance on shrinking montane forest habitats.
-
C.
Shapuri
Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
-
D.
Javan
Javan is a surname most notably associated with Ali Javan, the Iranian-American physicist and co-inventor of the gas laser.
-
E.
Nippani
Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7edff5e881909b72976e8909ba4b |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11053d8008190a29575149d2e027f |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.