Triple
T22585140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode text processing algorithms |
E564767
|
entity |
| Predicate | includesAlgorithm |
P125667
|
FINISHED |
| Object | Sentence Boundary Rules |
—
|
NE NERFINISHED |
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: Sentence Boundary Rules | Statement: [Unicode text processing algorithms, includesAlgorithm, Sentence Boundary Rules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentence Boundary Rules Context triple: [Unicode text processing algorithms, includesAlgorithm, Sentence Boundary Rules]
-
A.
Syntactic Anchors
Syntactic Anchors is a linguistics monograph by Juan Uriagereka that develops a theory of syntactic structure within the generative grammar framework, focusing on how hierarchical phrase structures are anchored in grammatical systems.
-
B.
Link Grammar
Link Grammar is a syntactic parsing framework that connects words in a sentence via labeled links according to a lexicon of linking requirements, providing a rule-based alternative to traditional phrase-structure grammars.
-
C.
Production Rule Dialect
Production Rule Dialect is a RIF (Rule Interchange Format) profile designed to represent and exchange production rule systems, such as those used in business rules and event-condition-action logic.
-
D.
Pāṇini’s rule notation
Pāṇini’s rule notation is a highly systematic, symbol-based framework for expressing Sanskrit grammatical rules with extreme brevity and precision.
-
E.
Boundaries
"Boundaries" is a 2018 comedy-drama film in which Lewis MacDougall co-stars in a story about a dysfunctional family’s cross-country road trip with their eccentric, weed-dealing patriarch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sentence Boundary Rules Target entity description: Sentence Boundary Rules are a Unicode text segmentation algorithm that determines where sentences begin and end in a stream of text across different languages and scripts.
-
A.
Syntactic Anchors
Syntactic Anchors is a linguistics monograph by Juan Uriagereka that develops a theory of syntactic structure within the generative grammar framework, focusing on how hierarchical phrase structures are anchored in grammatical systems.
-
B.
Link Grammar
Link Grammar is a syntactic parsing framework that connects words in a sentence via labeled links according to a lexicon of linking requirements, providing a rule-based alternative to traditional phrase-structure grammars.
-
C.
Production Rule Dialect
Production Rule Dialect is a RIF (Rule Interchange Format) profile designed to represent and exchange production rule systems, such as those used in business rules and event-condition-action logic.
-
D.
Pāṇini’s rule notation
Pāṇini’s rule notation is a highly systematic, symbol-based framework for expressing Sanskrit grammatical rules with extreme brevity and precision.
-
E.
Boundaries
"Boundaries" is a 2018 comedy-drama film in which Lewis MacDougall co-stars in a story about a dysfunctional family’s cross-country road trip with their eccentric, weed-dealing patriarch.
- F. None of above. chosen
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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:45 p.m.