Triple
T21984402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th Air Support Operations Squadron |
E542919
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
13 ASOS
13 ASOS is a United States Air Force squadron that provides tactical air control and close air support coordination for ground combat units.
|
E1512239
|
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: 13 ASOS | Statement: [13th Air Support Operations Squadron, abbreviation, 13 ASOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 13 ASOS Context triple: [13th Air Support Operations Squadron, abbreviation, 13 ASOS]
-
A.
ASOS
ASOS is a British online fashion and cosmetic retailer known for its wide range of trendy, affordable clothing and accessories aimed primarily at young adults.
-
B.
AllSaints
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
-
C.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
D.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
E.
Aeropostale
Aeropostale is an American specialty retailer known for its casual apparel and accessories aimed primarily at teenagers and young adults.
- 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: 13 ASOS Triple: [13th Air Support Operations Squadron, abbreviation, 13 ASOS]
Generated description
13 ASOS is a United States Air Force squadron that provides tactical air control and close air support coordination for ground combat units.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 13 ASOS Target entity description: 13 ASOS is a United States Air Force squadron that provides tactical air control and close air support coordination for ground combat units.
-
A.
ASOS
ASOS is a British online fashion and cosmetic retailer known for its wide range of trendy, affordable clothing and accessories aimed primarily at young adults.
-
B.
AllSaints
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
-
C.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
D.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
E.
Aeropostale
Aeropostale is an American specialty retailer known for its casual apparel and accessories aimed primarily at teenagers and young adults.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708055c8190b626ce244e368296 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7a14448190b7797258d5ed6579 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:04 p.m.