Triple
T38372094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of George Floyd |
E892611
|
entity |
| Predicate | occurredInNeighborhood |
P190808
|
FINISHED |
| Object | Powderhorn |
—
|
NE NERFINISHED |
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: Powderhorn | Statement: [murder of George Floyd, occurredInNeighborhood, Powderhorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occurredInNeighborhood Context triple: [murder of George Floyd, occurredInNeighborhood, Powderhorn]
-
A.
operatedInNeighborhood
Indicates that an entity conducted its activities or operations within a specific neighborhood.
-
B.
originatedInNeighborhood
Indicates that an entity began, was founded, or first came into existence within a specific neighborhood.
-
C.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
D.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
E.
runsThroughNeighborhood
Indicates that something (such as a route, path, or service) passes through or traverses a particular neighborhood.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.