Triple
T5568525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circular Quay railway station |
E145938
|
entity |
| Predicate | fareSystem |
P395
|
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: [Circular Quay railway station, fareSystem, Opal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opal Context triple: [Circular Quay railway station, fareSystem, Opal]
-
A.
Opal
chosen
Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
-
B.
Opal
Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
-
C.
Sunstone
Sunstone is a renowned long-form poem by Mexican Nobel laureate Octavio Paz, celebrated for its circular structure and rich exploration of time, love, and existential reflection.
-
D.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
E.
Beryl
Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d177d18819090018371d22c66a3 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:36 p.m.