Triple
T6946718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakenham line |
E160816
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | City Loop |
E158338
|
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: City Loop | Statement: [Pakenham line, terminus, City Loop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Loop Context triple: [Pakenham line, terminus, City Loop]
-
A.
City Loop
chosen
City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
-
B.
City East
City East is a central Adelaide campus of the University of South Australia, known for its focus on health, biomedical, and clinical education and research.
-
C.
City Transit Zone
City Transit Zone is a central fare zone within the SEPTA transit system that covers local city transit services such as trolleys, buses, and subways in Philadelphia.
-
D.
City Centre
City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
-
E.
City Centre
City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75870719481908312b387a3c6ce81 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.