Triple
T2603842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LS |
E58608
|
entity |
| Predicate | airlineSecondaryBaseAirportCode |
P40597
|
FINISHED |
| Object | EDI |
E270332
|
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: EDI | Statement: [LS, airlineSecondaryBaseAirportCode, EDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDI Context triple: [LS, airlineSecondaryBaseAirportCode, EDI]
-
A.
EDI
chosen
EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
-
B.
IFS
IFS is the acronym for the Indian Foreign Service, the elite diplomatic corps of India responsible for managing the country’s external affairs and international relations.
-
C.
DCOM
DCOM (Distributed Component Object Model) is a Microsoft technology that extends COM to support communication among software components over a network, enabling distributed, component-based applications.
-
D.
DocSend
DocSend is a document-sharing and tracking platform designed for securely sending files and gaining analytics on how recipients engage with them.
-
E.
FEC
FEC is the independent U.S. regulatory agency responsible for enforcing federal campaign finance laws and overseeing the financing of elections for federal office.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1ca0248190aa15f80b2798524e |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83d6daa4819087ee111e648ce71d |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.