Triple
T3778622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle International Airport |
E83367
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EGNT
EGNT is the ICAO airport code for Newcastle International Airport, a major passenger and cargo hub in northeast England.
|
E388084
|
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: EGNT | Statement: [Newcastle International Airport, ICAOcode, EGNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGNT Context triple: [Newcastle International Airport, ICAOcode, EGNT]
-
A.
EGNS
EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
-
B.
EGVN
EGVN is the ICAO airport code for RAF Brize Norton, a major Royal Air Force transport and air-to-air refuelling base in Oxfordshire, England.
-
C.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
D.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
E.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
- 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: EGNT Triple: [Newcastle International Airport, ICAOcode, EGNT]
Generated description
EGNT is the ICAO airport code for Newcastle International Airport, a major passenger and cargo hub in northeast England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EGNT Target entity description: EGNT is the ICAO airport code for Newcastle International Airport, a major passenger and cargo hub in northeast England.
-
A.
EGNS
EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
-
B.
EGVN
EGVN is the ICAO airport code for RAF Brize Norton, a major Royal Air Force transport and air-to-air refuelling base in Oxfordshire, England.
-
C.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
D.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
E.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f03d3df48190a4b2382059b7bb24 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1aeef248190922102fcee343239 |
completed | March 14, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f239fd348190a6a1704dab4894b4 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 8, 2026, 3:36 p.m.