Triple
T191251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Martí International Airport |
E3726
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
|
E24064
|
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: HAV | Statement: [José Martí International Airport, IATAcode, HAV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAV Context triple: [José Martí International Airport, IATAcode, HAV]
-
A.
Hay
Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
-
B.
HARV
HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
-
C.
HI
HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
-
D.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
E.
HUP
HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
- 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: HAV Triple: [José Martí International Airport, IATAcode, HAV]
Generated description
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAV Target entity description: HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
A.
Hay
Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
-
B.
HARV
HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
-
C.
HI
HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
-
D.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
E.
HUP
HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25964fc5c8190bd3e37daaf695ecf |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a305e64a9081908f147299826d5ae9 |
completed | Feb. 28, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_69a30679b0648190975dcfaf4f9846bf |
completed | Feb. 28, 2026, 3:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a306e6ce6c8190a77d42643914b03a |
completed | Feb. 28, 2026, 3:16 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.