Triple
T11506756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guatemalan Air Force |
E272804
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
FAG
FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
|
E929841
|
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: FAG | Statement: [Guatemalan Air Force, abbreviation, FAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAG Context triple: [Guatemalan Air Force, abbreviation, FAG]
-
A.
FAG
FAG is a German handball club based in Göppingen, competing in national and international leagues.
-
B.
SKF
SKF is a Swedish multinational engineering company best known as one of the world’s leading manufacturers of bearings and related industrial technologies.
-
C.
Fafnir Bearing Company
Fafnir Bearing Company was a prominent American manufacturer of precision ball bearings that played a key role in industrial and aerospace applications during the 20th century.
-
D.
FAW
FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
-
E.
Meritor
Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
- 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: FAG Triple: [Guatemalan Air Force, abbreviation, FAG]
Generated description
FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAG Target entity description: FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
-
A.
FAG
FAG is a German handball club based in Göppingen, competing in national and international leagues.
-
B.
SKF
SKF is a Swedish multinational engineering company best known as one of the world’s leading manufacturers of bearings and related industrial technologies.
-
C.
Fafnir Bearing Company
Fafnir Bearing Company was a prominent American manufacturer of precision ball bearings that played a key role in industrial and aerospace applications during the 20th century.
-
D.
FAW
FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
-
E.
Meritor
Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624e6e5b88190a2c64dcea1d7791b |
completed | April 20, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.