Triple
T28157324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Osgood |
E714787
|
entity |
| Predicate | transportModeInConflict |
P86086
|
FINISHED |
| Object | railroad |
—
|
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: railroad | Statement: [Jane Osgood, transportModeInConflict, railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportModeInConflict Context triple: [Jane Osgood, transportModeInConflict, railroad]
-
A.
transportModeComparedWith
Indicates a comparison between two entities regarding the mode of transport they use or are associated with.
-
B.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
C.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
D.
transportModeTo
Indicates the means or mode of transportation used to travel to a specified destination.
-
E.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 27, 2026, 10:03 p.m.