Triple
T16850935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shellharbour Junction railway station |
E409672
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | Opal |
E429019
|
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: Opal | Statement: [Shellharbour Junction railway station, ticketingSystem, Opal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opal Context triple: [Shellharbour Junction railway station, ticketingSystem, Opal]
-
A.
Opal
Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
-
B.
Opal
chosen
Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
-
C.
Topaz
Topaz is a silicate mineral gemstone prized for its clarity and range of colors, commonly used in jewelry and often linked to themes of strength and protection.
-
D.
Topaz
Topaz is a 1969 Cold War espionage thriller film directed by Alfred Hitchcock, based on the novel by Leon Uris.
-
E.
Topaz
Topaz is a formidable warrior and enforcer who serves the Grandmaster on the planet Sakaar in the Marvel Cinematic Universe.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b379b8fc81908d8bc9950c7f8bad |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.