Triple
T20938419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Cruces |
E515648
|
entity |
| Predicate | capitalizationPattern |
P72382
|
FINISHED |
| Object | Title case in English contexts |
—
|
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: Title case in English contexts | Statement: [Las Cruces, capitalizationPattern, Title case in English contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalizationPattern Context triple: [Las Cruces, capitalizationPattern, Title case in English contexts]
-
A.
preferredCapitalization
chosen
Indicates the specific way a term’s letters should be capitalized when it is written or displayed.
-
B.
capitalizationSegment
Indicates a relationship where a text span is treated as a distinct segment for applying or analyzing capitalization patterns.
-
C.
capitalizationRequirement
Indicates that a specified text element must follow a particular capitalization rule or standard.
-
D.
recognizesCapital
Indicates that one entity acknowledges or identifies another entity as the capital of a given region or country.
-
E.
capitalizedOn
Indicates that one entity took advantage of, exploited, or made beneficial use of an opportunity, situation, or resource provided or created by 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.