Triple
T6036344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easterwood Airport |
E134430
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KCLL
KCLL is the ICAO airport code for Easterwood Airport, a public airport serving College Station, Texas.
|
E564904
|
NE FINISHED |
How this triple was built (4 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: KCLL | Statement: [Easterwood Airport, ICAOcode, KCLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCLL Context triple: [Easterwood Airport, ICAOcode, KCLL]
-
A.
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
-
B.
KSLC
KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
-
C.
KTLH
KTLH is the ICAO airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s capital city.
-
D.
KCLE
KCLE is the ICAO airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
-
E.
KMLU
KMLU is the ICAO airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KCLL Triple: [Easterwood Airport, ICAOcode, KCLL]
Generated description
KCLL is the ICAO airport code for Easterwood Airport, a public airport serving College Station, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KCLL Target entity description: KCLL is the ICAO airport code for Easterwood Airport, a public airport serving College Station, Texas.
-
A.
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
-
B.
KSLC
KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
-
C.
KTLH
KTLH is the ICAO airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s capital city.
-
D.
KCLE
KCLE is the ICAO airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
-
E.
KMLU
KMLU is the ICAO airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
- F. None of above. chosen
Provenance (5 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b4e3ec819089b2d119ea2953fe |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1138cb2388190a80562a835388dc3 |
completed | March 23, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69c11551bec88190be77db3ec96045ad |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115f88e948190a3ea11b33742779c |
completed | March 23, 2026, 10:29 a.m. |
Created at: March 22, 2026, 4:08 p.m.