Triple
T161492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States federal memorials |
E3295
|
entity |
| Predicate | include |
P1393
|
FINISHED |
| Object | national memorials |
—
|
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: national memorials | Statement: [United States federal memorials, include, national memorials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: include Context triple: [United States federal memorials, include, national memorials]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
C.
excludes
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
D.
incorporatedThrough
Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary entity.
-
E.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2585877648190a2ec320182a69343 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256623704819089d9eeefe05858ce |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.