Triple
T7621052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry E. Rohlsen Airport |
E172491
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | TISX |
E172491
|
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: TISX | Statement: [Henry E. Rohlsen Airport, ICAO code, TISX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TISX Context triple: [Henry E. Rohlsen Airport, ICAO code, TISX]
-
A.
TISX
chosen
TISX is the ICAO airport code for Henry E. Rohlsen Airport on the island of St. Croix in the U.S. Virgin Islands.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
IXS
IXS is the three-letter IATA airport code assigned to Silchar Airport in Assam, India.
-
D.
TSI
TSI is a U.S. economic indicator that tracks the volume of freight and passenger transportation services to gauge activity in the transportation sector and broader economy.
-
E.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868789618819094010e60ef73fdfd |
completed | March 28, 2026, 11:47 p.m. |
Created at: March 27, 2026, 3:55 p.m.