Triple
T978751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Headquarters Allied Powers Europe |
E21118
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SHAPE
SHAPE is the central military command headquarters of NATO responsible for planning and executing the alliance’s collective defense operations in Europe.
|
E115880
|
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: SHAPE | Statement: [Supreme Headquarters Allied Powers Europe, shortName, SHAPE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHAPE Context triple: [Supreme Headquarters Allied Powers Europe, shortName, SHAPE]
-
A.
Shape
Shape is a health and fitness magazine and digital brand focused on exercise, nutrition, and wellness content, owned by Dotdash Meredith.
-
B.
Surface
Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
-
C.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
D.
SDF
SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
-
E.
Soma
Soma is a Vedic deity associated with the sacred ritual drink, the Moon, and divine inspiration in ancient Indian religion.
- 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: SHAPE Triple: [Supreme Headquarters Allied Powers Europe, shortName, SHAPE]
Generated description
SHAPE is the central military command headquarters of NATO responsible for planning and executing the alliance’s collective defense operations in Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHAPE Target entity description: SHAPE is the central military command headquarters of NATO responsible for planning and executing the alliance’s collective defense operations in Europe.
-
A.
Shape
Shape is a health and fitness magazine and digital brand focused on exercise, nutrition, and wellness content, owned by Dotdash Meredith.
-
B.
Surface
Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
-
C.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
D.
SDF
SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
-
E.
Soma
Soma is a Vedic deity associated with the sacred ritual drink, the Moon, and divine inspiration in ancient Indian religion.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b479e8f081908183448c36244e1f |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cdbd22c819084346de7e729c8a1 |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac1d45b8cc8190b8b678b697d3f7f1 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1e2e200881909e9b503655d6f8ab |
completed | March 7, 2026, 12:46 p.m. |
Created at: March 1, 2026, 7:40 p.m.