Triple
T32367165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards AFB Runway 17 |
E827025
|
entity |
| Predicate | airfieldICAO |
P123899
|
FINISHED |
| Object |
KEDW
KEDW is the ICAO airport code for Edwards Air Force Base, a major U.S. Air Force flight test center in California known for experimental and high-performance aircraft testing.
|
E2002993
|
NE FINISHED |
How this triple was built (3 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: KEDW | Statement: [Edwards AFB Runway 17, airfieldICAO, KEDW]
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: KEDW Triple: [Edwards AFB Runway 17, airfieldICAO, KEDW]
Generated description
KEDW is the ICAO airport code for Edwards Air Force Base, a major U.S. Air Force flight test center in California known for experimental and high-performance aircraft testing.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airfieldICAO Context triple: [Edwards AFB Runway 17, airfieldICAO, KEDW]
-
A.
airfieldCode
Indicates that an entity is identified by a specific airfield code used to uniquely reference that airfield.
-
B.
airfieldAlsoKnownAs
Indicates that an airfield is referred to by an alternative name or alias.
-
C.
ICAOairport
chosen
Indicates that an entity is an airport identified or classified according to the ICAO (International Civil Aviation Organization) airport coding system.
-
D.
airportCodeFAA
Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
-
E.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
- F. None of above.
Provenance (6 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be9e9e1881909c41e3189585cfd0 |
completed | May 3, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8b017b08190b4f1b7ed53eff201 |
completed | June 18, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a33e989a01c819092467345a1a454f5 |
completed | June 18, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3400cf3f148190be8972e1062333e9 |
completed | June 18, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:50 a.m.