Triple
T6494692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schellenberg |
E148126
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | FL |
E481743
|
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: FL | Statement: [Schellenberg, vehicleRegistrationCode, FL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FL Context triple: [Schellenberg, vehicleRegistrationCode, FL]
-
A.
FL
chosen
FL is the international vehicle registration code for the Principality of Liechtenstein.
-
B.
FL
FL is the standard two-letter United States Postal Service abbreviation for the state of Florida.
-
C.
LF
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
-
D.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
E.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.