Triple
T23107368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal T9 |
E576210
|
entity |
| Predicate | associatedWithICAOAirportCode |
P36333
|
FINISHED |
| Object | LFPG |
—
|
NE NERFINISHED |
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: LFPG | Statement: [Terminal T9, associatedWithICAOAirportCode, LFPG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFPG Context triple: [Terminal T9, associatedWithICAOAirportCode, LFPG]
-
A.
LFPG
chosen
LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
-
B.
PFG
PFG is the stock ticker symbol for Principal Financial Group, a U.S.-based global financial services and investment management company.
-
C.
LF
LF is the two-letter IATA airline designator assigned to Contour Airlines, used in flight numbers and ticketing.
-
D.
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.
-
E.
LF
LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0c7b9c8190b1160485eae87c9b |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.