Triple
T7621675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FasTrak |
E172508
|
entity |
| Predicate | identificationNumberFormat |
P78161
|
FINISHED |
| Object | unique transponder serial number |
—
|
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: unique transponder serial number | Statement: [FasTrak, identificationNumberFormat, unique transponder serial number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identificationNumberFormat Context triple: [FasTrak, identificationNumberFormat, unique transponder serial number]
-
A.
travelDocumentNumberFormat
Indicates the specific structural pattern or rules that define how a travel document number must be formatted.
-
B.
registrationPlateFormat
Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
-
C.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
D.
countryCodeFormat
Indicates the standardized structure or pattern in which a country's code must be represented.
-
E.
ianaIdentifierType
Indicates that one entity specifies the type or category of an IANA (Internet Assigned Numbers Authority) identifier associated with another entity.
- F. None of above. chosen
Provenance (4 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.