Triple
T3462476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campus Martius |
E73056
|
entity |
| Predicate | originallyCharacteristic |
P25840
|
FINISHED |
| Object | open meadowland |
—
|
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: open meadowland | Statement: [Campus Martius, originallyCharacteristic, open meadowland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyCharacteristic Context triple: [Campus Martius, originallyCharacteristic, open meadowland]
-
A.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
originallyHad
chosen
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
-
C.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
D.
originalFeature
Indicates that one entity is the initial or source feature from which another feature is derived, modified, or referenced.
-
E.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae867c4819091c76e63e44290b4 |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.