Triple
T28597821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brentwood Town Centre station |
E723821
|
entity |
| Predicate | hasCompassCardReaders |
P201130
|
FINISHED |
| Object | Yes |
—
|
LITERAL 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: Yes | Statement: [Brentwood Town Centre station, hasCompassCardReaders, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompassCardReaders Context triple: [Brentwood Town Centre station, hasCompassCardReaders, Yes]
-
A.
hasICCardReaders
Indicates that an entity is equipped with or contains IC card reader devices.
-
B.
hasOpalCardReaders
Indicates that an entity is equipped with or contains Opal card readers for processing Opal transit card transactions.
-
C.
hasOysterCardReaders
Indicates that the subject is equipped with or contains Oyster card readers for validating or processing Oyster card transactions.
-
D.
hasMykiCardReaders
Indicates that an entity is equipped with or contains Myki card readers for processing Myki cards.
-
E.
hasSecurityTerminal
Indicates that an entity is equipped with or contains a security terminal used for access control, monitoring, or security-related operations.
- F. None of above. chosen
Provenance (4 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
| PDg | Predicate description generation | batch_69ffcb5428b88190b154776ebcbb81e1 |
completed | May 10, 2026, 12:03 a.m. |
Created at: April 28, 2026, 4:22 a.m.