Triple
T3213423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Harcourt International Airport |
E67334
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
DNPO
DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
|
E338066
|
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: DNPO | Statement: [Port Harcourt International Airport, ICAOcode, DNPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNPO Context triple: [Port Harcourt International Airport, ICAOcode, DNPO]
-
A.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
C.
DOP
DOP is the common abbreviation for the Daughters of Penelope, a women’s organization affiliated with the American Hellenic Educational Progressive Association that promotes Hellenic ideals, philanthropy, and civic responsibility.
-
D.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
E.
DNVP
DNVP was a nationalist, conservative political party in the Weimar Republic that opposed democracy and later cooperated with the Nazi movement.
- 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: DNPO Triple: [Port Harcourt International Airport, ICAOcode, DNPO]
Generated description
DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DNPO Target entity description: DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
-
A.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
C.
DOP
DOP is the common abbreviation for the Daughters of Penelope, a women’s organization affiliated with the American Hellenic Educational Progressive Association that promotes Hellenic ideals, philanthropy, and civic responsibility.
-
D.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
E.
DNVP
DNVP was a nationalist, conservative political party in the Weimar Republic that opposed democracy and later cooperated with the Nazi movement.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.