Triple
T5195402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cemetery Ridge |
E117257
|
entity |
| Predicate | hasInterpretiveFeatures |
P36768
|
FINISHED |
| Object | wayside markers |
—
|
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: wayside markers | Statement: [Cemetery Ridge, hasInterpretiveFeatures, wayside markers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveFeatures Context triple: [Cemetery Ridge, hasInterpretiveFeatures, wayside markers]
-
A.
hasInterpretiveSigns
chosen
Indicates that interpretive or informational signs are present at or associated with the subject.
-
B.
hasInterpretiveElement
Indicates that something includes or is associated with an element involving interpretation, such as a subjective, analytical, or explanatory component.
-
C.
hasInterpretiveExhibits
Indicates that an entity includes or provides exhibits designed to explain, interpret, or contextualize information for viewers.
-
D.
hasInterpretiveTrails
Indicates that an entity provides or features designated trails accompanied by informational or educational materials to help visitors interpret and understand the surroundings.
-
E.
hasInterpretiveCenters
Indicates that an entity possesses or is associated with one or more interpretive centers that provide information, explanation, or context about it.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.