Triple
T1741470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipper card |
E38241
|
entity |
| Predicate | introducedAsBrand |
P21766
|
FINISHED |
| Object | Clipper |
E123351
|
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: Clipper | Statement: [Clipper card, introducedAsBrand, Clipper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clipper Context triple: [Clipper card, introducedAsBrand, Clipper]
-
A.
Clipper
chosen
Clipper is a reloadable contactless smart card system used for paying fares on public transit across the San Francisco Bay Area.
-
B.
Blackrod
Blackrod is a small town and civil parish in Greater Manchester, England, historically part of Lancashire and situated near Horwich and Bolton.
-
C.
Cutty Sark
Cutty Sark is a famous 19th-century British clipper ship preserved as a museum ship and historic landmark in London.
-
D.
Morgan
Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
-
E.
Morgan
Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c6d21c8190809bedaa798e2b14 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b060d64819096ba0522ccce9145 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.