Triple
T2534100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apapa Port |
E56227
|
entity |
| Predicate | UNLocode |
P1800
|
FINISHED |
| Object | NGAPP |
E9152
|
NE FINISHED |
How this triple was built (2 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: NGAPP | Statement: [Apapa Port, UNLocode, NGAPP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NGAPP Context triple: [Apapa Port, UNLocode, NGAPP]
-
A.
APPF
APPF is the abbreviated name of the Authority for European Political Parties and European Political Foundations, the EU body responsible for registering, monitoring, and, if necessary, sanctioning European political parties and foundations.
-
B.
ANPP
ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
-
C.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
D.
.ng
chosen
.ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
-
E.
NAP
NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bbc416c81908774782420b54664 |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:47 p.m.