Triple
T5898055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Street (Boston) |
E131147
|
entity |
| Predicate | coordinateRoleIn |
P67210
|
FINISHED |
| Object | tensions leading to American Revolution |
—
|
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: tensions leading to American Revolution | Statement: [King Street (Boston), coordinateRoleIn, tensions leading to American Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateRoleIn Context triple: [King Street (Boston), coordinateRoleIn, tensions leading to American Revolution]
-
A.
coordinateRoleWith
Indicates that one entity aligns, synchronizes, or collaborates its role or responsibilities with those of another entity.
-
B.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
-
C.
coordinatedWith
Indicates that two or more entities have worked together in an organized, cooperative manner toward a shared task, goal, or activity.
-
D.
coordinatesPositionsIn
Indicates that one entity organizes or aligns the positions or placement of other entities within a specified context or space.
-
E.
coordinateEvent
Indicates overseeing and organizing the planning, logistics, and execution of an event in collaboration with involved parties.
- F. None of above. chosen
Provenance (4 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.