Triple
T2271949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Corners Monument (Arizona corner) |
E50678
|
entity |
| Predicate | isMarkedBy |
P2130
|
FINISHED |
| Object | survey monument set by government surveyors |
—
|
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: survey monument set by government surveyors | Statement: [Four Corners Monument (Arizona corner), isMarkedBy, survey monument set by government surveyors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarkedBy Context triple: [Four Corners Monument (Arizona corner), isMarkedBy, survey monument set by government surveyors]
-
A.
usedMark
Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
-
B.
hasMarker
chosen
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
C.
reportedMarks
Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
-
D.
entranceMarkedBy
Indicates that the entrance of one entity is distinguished or identified by the presence of another entity (such as a sign, marker, or feature).
-
E.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.