Triple
T20137860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordica |
E491071
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
NDA
NDA is the ICAO airport code assigned to Nordica, an airline based in Estonia.
|
E1413452
|
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: NDA | Statement: [Nordica, ICAOcode, NDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NDA Context triple: [Nordica, ICAOcode, NDA]
-
A.
NDA
NDA is India’s premier joint training institution for future officers of the Army, Navy, and Air Force, located near Pune.
-
B.
NDA
NDA is a major Indian political coalition led by the Bharatiya Janata Party that has formed the central government multiple times since the late 1990s.
-
C.
NDA
NDA is the National Defense Academy of Japan, a premier institution that educates and trains future officers for the country’s Self-Defense Forces.
-
D.
NDA
The NDA is a Canadian federal law that governs the organization, duties, and administration of the country’s armed forces and national defence.
-
E.
NDA
NDA is Nigeria’s premier military university that trains officer cadets for commissioning into the Nigerian Armed Forces.
- 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: NDA Triple: [Nordica, ICAOcode, NDA]
Generated description
NDA is the ICAO airport code assigned to Nordica, an airline based in Estonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NDA Target entity description: NDA is the ICAO airport code assigned to Nordica, an airline based in Estonia.
-
A.
NDA
The NDA is a Canadian federal law that governs the organization, duties, and administration of the country’s armed forces and national defence.
-
B.
NDA
NDA is India’s premier joint training institution for future officers of the Army, Navy, and Air Force, located near Pune.
-
C.
NDA
NDA is a major Indian political coalition led by the Bharatiya Janata Party that has formed the central government multiple times since the late 1990s.
-
D.
NDA
NDA is the National Defense Academy of Japan, a premier institution that educates and trains future officers for the country’s Self-Defense Forces.
-
E.
NDA
NDA is Nigeria’s premier military university that trains officer cadets for commissioning into the Nigerian Armed Forces.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de4bba88190a7d20a03826cbff0 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082ee3aafc819088a14b0a5d655072 |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082f70e24881909c43a85289df4976 |
completed | May 16, 2026, 8:48 a.m. |
Created at: April 11, 2026, 11:32 p.m.