Triple
T1953433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C40 |
E42209
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | C40 |
E42209
|
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: C40 | Statement: [C40, shortName, C40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C40 Context triple: [C40, shortName, C40]
-
A.
C40
chosen
C40 is a global network of major cities collaborating to address climate change and drive urban climate leadership.
-
B.
A40
A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
-
C.
C-4
C-4 is a major commuter rail line in the Cercanías Madrid network that connects central Madrid with several key suburbs and outlying towns.
-
D.
LC4
LC4 is an iconic modernist chaise longue designed by Le Corbusier, Pierre Jeanneret, and Charlotte Perriand, renowned for its adjustable reclining form and tubular steel frame.
-
E.
New Quad
New Quad is one of the main quadrangles of The Queen's College, Oxford, known for its collegiate architecture and central role in college life.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb351c148819080173c09876e814a |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc611fc8190b2f512c744cbc364 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.