Triple
T3999158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirtland Air Force Base |
E87169
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KIKR
KIKR is the ICAO airport code for Kirtland Air Force Base, a major United States Air Force installation located in Albuquerque, New Mexico.
|
E406104
|
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: KIKR | Statement: [Kirtland Air Force Base, ICAOCode, KIKR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KIKR Context triple: [Kirtland Air Force Base, ICAOCode, KIKR]
-
A.
KRIC
KRIC is the ICAO airport code for Richmond International Airport, a major commercial airport serving the Richmond, Virginia area.
-
B.
KIR
KIR is the three-letter ISO 3166-1 alpha-3 country code assigned to Kiribati.
-
C.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
-
D.
KI
KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
-
E.
KIX
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
- 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: KIKR Triple: [Kirtland Air Force Base, ICAOCode, KIKR]
Generated description
KIKR is the ICAO airport code for Kirtland Air Force Base, a major United States Air Force installation located in Albuquerque, New Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KIKR Target entity description: KIKR is the ICAO airport code for Kirtland Air Force Base, a major United States Air Force installation located in Albuquerque, New Mexico.
-
A.
KRIC
KRIC is the ICAO airport code for Richmond International Airport, a major commercial airport serving the Richmond, Virginia area.
-
B.
KIR
KIR is the three-letter ISO 3166-1 alpha-3 country code assigned to Kiribati.
-
C.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
-
D.
KI
KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
-
E.
KIX
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa4065ac8190a898a1025365b8e9 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c57f60c819080e237b4b056d73b |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54dbaf3d88190962e5c0b5b4604d4 |
completed | March 14, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54e16cde48190bb82f0eb04470629 |
completed | March 14, 2026, 12:01 p.m. |
Created at: March 9, 2026, 3:34 p.m.