Triple
T7621046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TISX |
E172491
|
entity |
| Predicate | associatedWithIATA |
P12360
|
FINISHED |
| Object | STX |
E172490
|
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: STX | Statement: [TISX, associatedWithIATA, STX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STX Context triple: [TISX, associatedWithIATA, STX]
-
A.
STX
STX is the stock ticker symbol for Seagate Technology, a major data storage company known for manufacturing hard disk drives and related storage solutions.
-
B.
STX
chosen
STX is the IATA airport code for Henry E. Rohlsen Airport serving St. Croix in the U.S. Virgin Islands.
-
C.
STXfilms
STXfilms is an American film production and distribution company known for mid-budget, star-driven movies across genres.
-
D.
Sea-Land Service, Inc.
Sea-Land Service, Inc. was a pioneering American container shipping company that played a key role in the development and commercialization of modern intermodal containerization in global trade.
-
E.
Evergreen Marine
Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
- 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_69c8709b93c881909dd4c8a7669279db |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:55 p.m.