Triple
T1741478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipper card |
E38241
|
entity |
| Predicate | hasCardType |
P5430
|
FINISHED |
| Object | adult Clipper card |
—
|
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: adult Clipper card | Statement: [Clipper card, hasCardType, adult Clipper card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCardType Context triple: [Clipper card, hasCardType, adult Clipper card]
-
A.
cardType
chosen
Indicates the classification or category assigned to a card within a given system or context.
-
B.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
C.
hasDeckType
Indicates that an entity possesses or is associated with a specific type or category of deck.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
- F. None of above.
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_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.