Triple
T690624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dupont Circle Building |
E13382
|
entity |
| Predicate | isProminent |
P1317
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Dupont Circle Building, isProminent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProminent Context triple: [The Dupont Circle Building, isProminent, true]
-
A.
hasProminence
Indicates that one entity stands out in importance, visibility, or influence relative to others within a given context.
-
B.
prominence
chosen
Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
-
C.
notablePrimary
Indicates that one entity is the main or most prominent example, instance, or representative of another entity.
-
D.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
E.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0ad379c81909003d35c63822780 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.