Triple
T9007284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mihail Kogălniceanu International Airport |
E215375
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CND
CND is the IATA airport code for Mihail Kogălniceanu International Airport serving Constanța, Romania.
|
E770775
|
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: CND | Statement: [Mihail Kogălniceanu International Airport, IATAcode, CND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CND Context triple: [Mihail Kogălniceanu International Airport, IATAcode, CND]
-
A.
CND
CND is a British peace organization best known for campaigning against nuclear weapons and promoting global disarmament.
-
B.
CAND
CAND is the official abbreviation for the Vietnam People's Public Security, the national police and security force of Vietnam responsible for maintaining public order and internal security.
-
C.
CNDLC
CNDLC is the UN/LOCODE identifier for the Port of Dalian, a major seaport in northeastern China.
-
D.
CYND
CYND is the ICAO airport code for Gatineau-Ottawa Executive Airport, a regional airport serving the National Capital Region of Canada.
-
E.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
- 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: CND Triple: [Mihail Kogălniceanu International Airport, IATAcode, CND]
Generated description
CND is the IATA airport code for Mihail Kogălniceanu International Airport serving Constanța, Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CND Target entity description: CND is the IATA airport code for Mihail Kogălniceanu International Airport serving Constanța, Romania.
-
A.
CND
CND is a British peace organization best known for campaigning against nuclear weapons and promoting global disarmament.
-
B.
CAND
CAND is the official abbreviation for the Vietnam People's Public Security, the national police and security force of Vietnam responsible for maintaining public order and internal security.
-
C.
CNDLC
CNDLC is the UN/LOCODE identifier for the Port of Dalian, a major seaport in northeastern China.
-
D.
CYND
CYND is the ICAO airport code for Gatineau-Ottawa Executive Airport, a regional airport serving the National Capital Region of Canada.
-
E.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bdc5fc819081015f4adacf9fd4 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.