Triple
T23312998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darwin Information Typing Architecture |
E590630
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | DITA map |
—
|
NE NERFINISHED |
How this triple was built (2 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: DITA map | Statement: [Darwin Information Typing Architecture, hasComponent, DITA map]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DITA map Context triple: [Darwin Information Typing Architecture, hasComponent, DITA map]
-
A.
DITA
chosen
DITA (Darwin Information Typing Architecture) is an XML-based standard for authoring, structuring, and publishing modular technical documentation.
-
B.
DITA Open Toolkit
DITA Open Toolkit is an open-source publishing engine that transforms DITA content into various output formats such as HTML, PDF, and EPUB.
-
C.
OASIS DITA Technical Committee
The OASIS DITA Technical Committee is the standards body within OASIS responsible for developing and maintaining the DITA XML-based architecture for structured, topic-oriented content.
-
D.
The Map
The Map is a poem by Elizabeth Bishop that meditates on geography, perception, and the relationship between maps and the real world.
-
E.
MAPA
MAPA is the acronym for Brazil’s federal Ministry responsible for agricultural policy, livestock, and agribusiness regulation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972ca70481909e2415c65964210a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.