Triple
T14007881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla de Pascua Airport |
E336997
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object | SCIP |
E67088
|
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: SCIP | Statement: [Isla de Pascua Airport, hasICAOcode, SCIP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCIP Context triple: [Isla de Pascua Airport, hasICAOcode, SCIP]
-
A.
SCIP
chosen
SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
-
B.
ILP
ILP is a former British socialist political party that played a key role in the early development of the Labour movement in the United Kingdom.
-
C.
Gomory cuts in integer programming
Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
-
D.
Gomory
Gomory is the surname of Ralph E. Gomory, a prominent mathematician and former IBM research director known for his work in integer programming and cutting-plane methods.
-
E.
Yices
Yices is a high-performance Satisfiability Modulo Theories (SMT) solver widely used in formal verification and automated reasoning.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca5fb48819090fff1fd22e8a15c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.