Triple
T13664945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutland–Southern Vermont Regional Airport |
E327092
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | RUT |
E805823
|
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: RUT | Statement: [Rutland–Southern Vermont Regional Airport, IATACode, RUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RUT Context triple: [Rutland–Southern Vermont Regional Airport, IATACode, RUT]
-
A.
RUT
chosen
RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
-
B.
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
-
C.
RÜD
RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
-
D.
RUG
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
-
E.
RKT
RKT is the stock ticker symbol for Reckitt Benckiser, a multinational consumer goods company known for health, hygiene, and home products.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0ac4c88190ab6f753c6847eb6e |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.