Triple
T15245746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anzhu Islands |
E364374
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Bunge Land |
E347618
|
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: Bunge Land | Statement: [Anzhu Islands, hasIsland, Bunge Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunge Land Context triple: [Anzhu Islands, hasIsland, Bunge Land]
-
A.
Bunge Land
chosen
Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
-
B.
Bunge
Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
-
C.
Bunge
Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
-
D.
Labone
Labone is a primarily residential and upscale neighborhood in Accra, Ghana, known for its embassies, guesthouses, and proximity to the coastal areas.
-
E.
Felda
Felda is a small river in central Germany that flows through Hesse and Thuringia before joining the Werra.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.