Triple
T14399625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diori Hamani International Airport |
E357035
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
NIM
NIM is the IATA airport code for Diori Hamani International Airport, the main airport serving Niamey, the capital of Niger.
|
E1098010
|
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: NIM | Statement: [Diori Hamani International Airport, IATAcode, NIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIM Context triple: [Diori Hamani International Airport, IATAcode, NIM]
-
A.
Nim
Nim is a classic impartial combinatorial game of removing objects from heaps, fundamental in game theory and central to the development of the Sprague–Grundy theorem.
-
B.
Nimmitabel
Nimmitabel is a small rural village in New South Wales, Australia, known for its historic buildings and cold, often snowy climate on the Monaro plains.
-
C.
DNIM
DNIM is the ICAO airport code assigned to Sam Mbakwe International Cargo Airport in Imo State, Nigeria.
-
D.
Nimadi
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
E.
Nim Li Punit
Nim Li Punit is a Maya archaeological site in southern Belize known for its carved stelae and hilltop ceremonial structures.
- 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: NIM Triple: [Diori Hamani International Airport, IATAcode, NIM]
Generated description
NIM is the IATA airport code for Diori Hamani International Airport, the main airport serving Niamey, the capital of Niger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NIM Target entity description: NIM is the IATA airport code for Diori Hamani International Airport, the main airport serving Niamey, the capital of Niger.
-
A.
Nim
Nim is a classic impartial combinatorial game of removing objects from heaps, fundamental in game theory and central to the development of the Sprague–Grundy theorem.
-
B.
Nimmitabel
Nimmitabel is a small rural village in New South Wales, Australia, known for its historic buildings and cold, often snowy climate on the Monaro plains.
-
C.
DNIM
DNIM is the ICAO airport code assigned to Sam Mbakwe International Cargo Airport in Imo State, Nigeria.
-
D.
Nimadi
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
E.
Nim Li Punit
Nim Li Punit is a Maya archaeological site in southern Belize known for its carved stelae and hilltop ceremonial structures.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551eb09c8190a102ab452371e5b1 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671340081909d87978be2a5522b |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57a6711881909429bba35ee867c6 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:17 a.m.