Triple
T5757067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan Bus Lines |
E126992
|
entity |
| Predicate | hasWiFiOnBoard |
P32735
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Peter Pan Bus Lines, hasWiFiOnBoard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWiFiOnBoard Context triple: [Peter Pan Bus Lines, hasWiFiOnBoard, true]
-
A.
wifiAvailable
chosen
Indicates that a location, device, or context has access to a functioning Wi-Fi network.
-
B.
supportsWiFiStandard
Indicates that one entity is compatible with and able to operate using a specified Wi-Fi communication standard defined by another entity.
-
C.
wirelessSupportIntroduced
Indicates that support for wireless functionality was added or became available for the first time.
-
D.
hasBluetooth
Indicates that one entity is equipped with or supports Bluetooth connectivity.
-
E.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.