Triple
T2428853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lismore |
E52794
|
entity |
| Predicate | electoralDivisionFederal |
P1566
|
FINISHED |
| Object | Page |
E66950
|
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: Page | Statement: [Lismore, electoralDivisionFederal, Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Page Context triple: [Lismore, electoralDivisionFederal, Page]
-
A.
Page
chosen
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
B.
Pages
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
-
C.
Trang
Trang is a coastal city in southern Thailand known for its laid-back atmosphere, nearby islands, and distinctive local cuisine.
-
D.
Pan
Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
-
E.
Pan
Pan is a 1894 novel by Norwegian author Knut Hamsun, known for its lyrical portrayal of nature and its psychologically intense depiction of love and jealousy.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99e1b548190aca9a0ba72a9b0f7 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf6634a48190af82eab6b9750323 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.