Triple
T6863020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond railway station |
E158327
|
entity |
| Predicate | servesSuburb |
P82
|
FINISHED |
| Object | Richmond |
E430166
|
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: Richmond | Statement: [Richmond railway station, servesSuburb, Richmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richmond Context triple: [Richmond railway station, servesSuburb, Richmond]
-
A.
Richmond
chosen
Richmond is a historic outer suburb of Sydney, New South Wales, known for its semi-rural character and proximity to the Hawkesbury River.
-
B.
Richmond
Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
-
C.
Richmond
Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
-
D.
Richmond
Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
-
E.
Richmond
Richmond is a coastal city in Metro Vancouver, British Columbia, known for its large Asian community, busy international airport, and extensive dike-protected waterfront.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8897cf48190a2f688d21f1f6c1a |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f6db074819089795c29cb4f6699 |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:21 p.m.