Triple
T20938403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Cruces |
E515648
|
entity |
| Predicate | headNounSingularMeaning |
P126081
|
FINISHED |
| Object | Cross |
—
|
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: Cross | Statement: [Las Cruces, headNounSingularMeaning, Cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headNounSingularMeaning Context triple: [Las Cruces, headNounSingularMeaning, Cross]
-
A.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
-
B.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
C.
nodeMeaning
chosen
Indicates that one entity represents, defines, or conveys the semantic content or intended meaning of another entity.
-
D.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
E.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation 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.