Triple
T9152428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OAK |
E219618
|
entity |
| Predicate | alternativeTo |
P5887
|
FINISHED |
| Object | SFO |
E2842
|
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: SFO | Statement: [OAK, alternativeTo, SFO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFO Context triple: [OAK, alternativeTo, SFO]
-
A.
SFO
The SFO, or Secular Franciscan Order, is a worldwide community of laypeople who follow the spiritual tradition of Saint Francis of Assisi while living in everyday secular life.
-
B.
SFO
SFO is the Serious Fraud Office, a UK government agency responsible for investigating and prosecuting serious or complex fraud, bribery, and corruption.
-
C.
San Francisco International Airport
chosen
San Francisco International Airport is a major international air travel hub serving the San Francisco Bay Area and one of the busiest airports in the United States.
-
D.
Los Angeles International Airport
Los Angeles International Airport is one of the busiest airports in the world and a major international gateway for air travel to and from the United States.
-
E.
LaGuardia Airport
LaGuardia Airport is a major commercial airport in Queens serving New York City, particularly known for its domestic flights and proximity to Manhattan.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96cf4548190a3a45172f0e9d0ec |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0545c5bb48190b889e6e9ef0448a5 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:20 p.m.