Triple
T8308579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Uriagereka |
E194526
|
entity |
| Predicate | hasNotableConcept |
P531
|
FINISHED |
| Object | Syntactic Anchors framework |
E726991
|
NE FINISHED |
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: Syntactic Anchors framework | Statement: [Juan Uriagereka, hasNotableConcept, Syntactic Anchors framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syntactic Anchors framework Context triple: [Juan Uriagereka, hasNotableConcept, Syntactic Anchors framework]
-
A.
Syntactic Anchors
chosen
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.
Multiple Spell-Out model of syntax
The Multiple Spell-Out model of syntax is a theoretical framework in generative grammar that proposes cyclic, phase-based transfer of syntactic structure to phonological and semantic components during derivation.
-
C.
Types of A-bar Dependencies
Types of A-bar Dependencies is a seminal linguistics monograph by Guglielmo Cinque that analyzes the structure and behavior of A-bar movement and related syntactic dependencies across languages.
-
D.
Augmented Backus–Naur Form
Augmented Backus–Naur Form (ABNF) is a standardized, extended version of Backus–Naur Form used to formally specify the syntax of languages and protocols, notably in Internet and communication standards.
-
E.
Aho–Ullman algorithms for parsing
Aho–Ullman algorithms for parsing are foundational compiler-construction techniques that efficiently analyze and translate the syntactic structure of programming languages based on formal grammar theory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6e4eb808190b138c52810f35040 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:54 p.m.