Triple
T27687623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolseley |
E698073
|
entity |
| Predicate | badgeEngineeredWith |
P162949
|
FINISHED |
| Object |
Austin
Austin was a prominent British automobile manufacturer known for producing a wide range of popular cars throughout the 20th century.
|
E704424
|
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: Austin | Statement: [Wolseley, badgeEngineeredWith, Austin]
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: Austin Triple: [Wolseley, badgeEngineeredWith, Austin]
Generated description
Austin was a prominent British automobile manufacturer known for producing a wide range of popular cars throughout the 20th century.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: badgeEngineeredWith Context triple: [Wolseley, badgeEngineeredWith, Austin]
-
A.
badgeEngineeredWith
chosen
Indicates that a badge has been created, configured, or customized using a particular engineering tool, method, or system.
-
B.
badgeEngineeredFrom
Indicates that a badge is derived, created, or generated based on another underlying source, design, or system.
-
C.
badgeVariesBy
Indicates that the characteristics or appearance of a badge change depending on some varying condition, context, or parameter.
-
D.
badgeMaterial
Indicates the material from which a badge is made.
-
E.
badge
Indicates that one entity confers, displays, or is associated with a symbolic mark or emblem representing status, achievement, role, or affiliation in relation to another entity.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15b86b25088190ad6082499161f25e |
completed | May 26, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a15bc3f71b881909b2add9409d75b78 |
completed | May 26, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15bcf711148190882bb2f6f46fd40e |
completed | May 26, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:50 p.m.