Triple
T4415147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha's Vineyard Airport |
E94950
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | MVY |
E94950
|
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: MVY | Statement: [Martha's Vineyard Airport, FAAIdentifier, MVY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MVY Context triple: [Martha's Vineyard Airport, FAAIdentifier, MVY]
-
A.
MVY
chosen
MVY is the IATA airport code for Martha's Vineyard Airport, the primary commercial airport serving Martha's Vineyard in Massachusetts, USA.
-
B.
MV
MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
-
C.
MIV
MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
-
D.
MVU
MVU (Model-View-Update) is an architectural pattern for building user interfaces that emphasizes a unidirectional data flow, immutable state, and a clear separation between state, view rendering, and update logic.
-
E.
MY
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354eabb2481908ad10d21e1379e7f |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136465c48190a5bdab81fe1438c4 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:29 p.m.