Triple
T21704323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youcat |
E535733
|
entity |
| Predicate | inspired |
P9
|
FINISHED |
| Object |
Docat
Docat is a Catholic social teaching book and youth catechism-style guide that presents the Church’s social doctrine in an accessible, practical format for young people.
|
E1497426
|
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: Docat | Statement: [Youcat, inspired, Docat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Docat Context triple: [Youcat, inspired, Docat]
-
A.
Docus
Docus is an alternative name for Dok, likely referring to the same entity, brand, or product under a different designation.
-
B.
DOCU
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
C.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
-
D.
Doclea
Doclea was an ancient city in present-day Montenegro that served as a key political and administrative center in the early medieval Balkans.
-
E.
DOC
DOC (Denominação de Origem Controlada) is Portugal’s highest wine classification, designating wines from strictly regulated and geographically defined regions known for their quality and typicity.
- 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: Docat Triple: [Youcat, inspired, Docat]
Generated description
Docat is a Catholic social teaching book and youth catechism-style guide that presents the Church’s social doctrine in an accessible, practical format for young people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Docat Target entity description: Docat is a Catholic social teaching book and youth catechism-style guide that presents the Church’s social doctrine in an accessible, practical format for young people.
-
A.
Docus
Docus is an alternative name for Dok, likely referring to the same entity, brand, or product under a different designation.
-
B.
DOCU
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
C.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
-
D.
Doclea
Doclea was an ancient city in present-day Montenegro that served as a key political and administrative center in the early medieval Balkans.
-
E.
DOC
DOC (Denominação de Origem Controlada) is Portugal’s highest wine classification, designating wines from strictly regulated and geographically defined regions known for their quality and typicity.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e2b272481909f1cf29c74f3b61c |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1f2788648190bc48fb4d0a614fd9 |
completed | May 17, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:46 p.m.