Triple
T12963245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akanu Ibiam International Airport |
E321198
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ENU
ENU is the IATA airport code for Akanu Ibiam International Airport serving Enugu in southeastern Nigeria.
|
E1013488
|
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: ENU | Statement: [Akanu Ibiam International Airport, IATAcode, ENU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENU Context triple: [Akanu Ibiam International Airport, IATAcode, ENU]
-
A.
NU
NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
-
B.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
C.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
D.
NU
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
-
E.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
- 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: ENU Triple: [Akanu Ibiam International Airport, IATAcode, ENU]
Generated description
ENU is the IATA airport code for Akanu Ibiam International Airport serving Enugu in southeastern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ENU Target entity description: ENU is the IATA airport code for Akanu Ibiam International Airport serving Enugu in southeastern Nigeria.
-
A.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
-
B.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
C.
NU
NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
-
D.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
E.
NU
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e2f5e448190b56e74602c43358d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e227948190a2d08db97b4e41aa |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dac2c88190850304023f156969 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb03d8d88190930edd0f49fec8aa |
completed | May 3, 2026, 3:03 a.m. |
Created at: April 9, 2026, 8:24 p.m.