Triple
T9024844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JNU |
E216019
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | PAJN |
E216020
|
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: PAJN | Statement: [JNU, hasICAOCode, PAJN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAJN Context triple: [JNU, hasICAOCode, PAJN]
-
A.
PAJN
chosen
PAJN is the ICAO airport code for Juneau International Airport, the primary commercial airport serving Juneau, Alaska.
-
B.
Pajaka
Pajaka is a small village in Karnataka, India, best known as the birthplace of the Dvaita Vedanta philosopher Madhvacharya and a site of religious pilgrimage.
-
C.
PJS
PJS is the station code for Port Jefferson station, a Long Island Rail Road terminal in Port Jefferson, New York.
-
D.
PAG
PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
-
E.
PJ
PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.