Triple
T20938400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Cruces |
E515648
|
entity |
| Predicate | definiteArticle |
P5228
|
FINISHED |
| Object | Las |
—
|
LITERAL 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: Las | Statement: [Las Cruces, definiteArticle, Las]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definiteArticle Context triple: [Las Cruces, definiteArticle, Las]
-
A.
hasDefiniteArticle
chosen
Indicates that the referenced entity or term is accompanied by a definite article (such as "the") in the given context.
-
B.
usesDefiniteArticlePosition
Indicates that a definite article appears in a specific syntactic or positional slot relative to another element in the expression.
-
C.
usesIndefiniteArticle
Indicates that the referenced entity is introduced or referred to with an indefinite article (such as “a” or “an”), signaling a non-specific or non-unique instance.
-
D.
hasNoIndefiniteArticle
Indicates that the related entity is expressed without an indefinite article (such as “a” or “an”) in the given linguistic context.
-
E.
determinativeFor
Indicates that one entity serves to uniquely identify, specify, or determine the status, interpretation, or outcome of another entity.
- F. None of above.
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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.