Triple
T69050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSH |
E1380
|
entity |
| Predicate | conference |
P900
|
FINISHED |
| Object | NFC |
E1377
|
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: NFC | Statement: [WSH, conference, NFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFC Context triple: [WSH, conference, NFC]
-
A.
NFC
chosen
The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
-
B.
RFID
RFID (Radio-Frequency Identification) is a wireless technology that uses electromagnetic fields to automatically identify and track tagged objects, commonly employed in areas like inventory management, access control, and contactless payments.
-
C.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
D.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
E.
SmarTrip
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f045d38819088f5f71e39fa1ee7 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c19b6088190af308ead33ae784e |
completed | Feb. 28, 2026, 4:16 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.