Triple
T34706534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Review of the Union Armies |
E1000519
|
entity |
| Predicate | reviewStandLocation |
P181713
|
FINISHED |
| Object | in front of the White House |
—
|
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: in front of the White House | Statement: [Grand Review of the Union Armies, reviewStandLocation, in front of the White House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewStandLocation Context triple: [Grand Review of the Union Armies, reviewStandLocation, in front of the White House]
-
A.
reviewType
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
B.
reviewOutcome
Indicates the result or conclusion reached after evaluating or reviewing something.
-
C.
reviewScale
Indicates the rating system or range (such as 1–5 stars, 0–10, etc.) used to evaluate or score something in a review.
-
D.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
E.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.