Triple
T10921389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Providenciales International Airport |
E257954
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
MBPV
MBPV is the ICAO airport code for Providenciales International Airport, the main international gateway to the Turks and Caicos Islands.
|
E893936
|
NE FINISHED |
How this triple was built (4 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: MBPV | Statement: [Providenciales International Airport, ICAO code, MBPV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBPV Context triple: [Providenciales International Airport, ICAO code, MBPV]
-
A.
BMV
BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
-
B.
BMVI
BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
-
C.
BMVg
BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
-
D.
MBZ
MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
-
E.
BMUV
BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MBPV Triple: [Providenciales International Airport, ICAO code, MBPV]
Generated description
MBPV is the ICAO airport code for Providenciales International Airport, the main international gateway to the Turks and Caicos Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MBPV Target entity description: MBPV is the ICAO airport code for Providenciales International Airport, the main international gateway to the Turks and Caicos Islands.
-
A.
BMV
BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
-
B.
BMVI
BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
-
C.
BMVg
BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
-
D.
MBZ
MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
-
E.
BMUV
BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
- F. None of above. chosen
Provenance (5 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77082a1488190850a4409339c3e1e |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2172894d88190b7b27f78e9fd1521 |
completed | April 17, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69e21d8a2e6881909b33cbe4ab919315 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eaa1e9881909f3b276e0ff0c511 |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:22 p.m.