Triple
T9738830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderson Regional Airport |
E236133
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | AND |
E85007
|
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: AND | Statement: [Anderson Regional Airport, IATAcode, AND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AND Context triple: [Anderson Regional Airport, IATAcode, AND]
-
A.
AND
chosen
AND is the three-letter ISO 3166-1 alpha-3 country code assigned to Andorra.
-
B.
ANDA
ANDA stands for Abbreviated New Drug Application, the U.S. FDA regulatory pathway that allows approval of generic drugs by demonstrating bioequivalence to an already approved brand-name product.
-
C.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
D.
AN
AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
-
E.
AN
AN is the abbreviation commonly used for the National Alliance, a political organization.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef43fec8190987628f401a27436 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe0dab48190832ab77265c09d70 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:22 p.m.