Triple
T14155098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarro railway station |
E350794
|
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: [Tarro railway station, fareSystem, Opal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opal Context triple: [Tarro railway station, fareSystem, 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.
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.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.