Triple
T2672658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTKL Associates Inc. |
E55781
|
entity |
| Predicate | projectScale |
P10773
|
FINISHED |
| Object | large-scale |
—
|
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: large-scale | Statement: [RTKL Associates Inc., projectScale, large-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectScale Context triple: [RTKL Associates Inc., projectScale, large-scale]
-
A.
majorProject
Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
-
B.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
-
C.
parentProject
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
-
D.
operationScale
chosen
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
E.
projectFaced
Indicates that a project encountered or experienced specific challenges, obstacles, or conditions during its course.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98f98908190b5c6fb38d3d4367a |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.