Triple
T2442841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concourse in Terminal A |
E53317
|
entity |
| Predicate | IATACodeOfAirport |
P2569
|
FINISHED |
| Object | SMF |
E53313
|
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: SMF | Statement: [Concourse in Terminal A, IATACodeOfAirport, SMF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMF Context triple: [Concourse in Terminal A, IATACodeOfAirport, SMF]
-
A.
SMF
chosen
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
B.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
C.
SFM
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
-
D.
SMDS
SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
-
E.
SMC
SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0db08948190b2a9e36aebbcdaa1 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b72fa288190846e4e68b912c7dc |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:43 p.m.