Triple
T32668751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington at Princeton |
E835231
|
entity |
| Predicate | showsObject |
P135206
|
FINISHED |
| Object | sword |
—
|
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: sword | Statement: [George Washington at Princeton, showsObject, sword]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsObject Context triple: [George Washington at Princeton, showsObject, sword]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
showElement
chosen
Indicates that one entity causes a specific element or component to be displayed or made visible to another entity or within a given context.
-
C.
showState
Indicates that an entity presents or reveals the current condition, status, or situation of another entity.
-
D.
showsScene
Indicates that one entity (such as a media item or visual representation) depicts or presents a particular scene.
-
E.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:08 a.m.