Triple
T28650505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Hammond |
E725179
|
entity |
| Predicate | providesExpositionOn |
P142360
|
FINISHED |
| Object | revolution leading to utopian society |
—
|
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: revolution leading to utopian society | Statement: [Old Hammond, providesExpositionOn, revolution leading to utopian society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesExpositionOn Context triple: [Old Hammond, providesExpositionOn, revolution leading to utopian society]
-
A.
providesExpositionAbout
chosen
Indicates that one entity offers explanatory or background information clarifying or elaborating on another entity.
-
B.
typeOfExposition
Indicates the specific manner or format in which information, content, or a subject is presented or explained.
-
C.
hasExposition
Indicates that one entity presents a detailed explanation, background, or clarification about another entity.
-
D.
providesExposureTo
Indicates that one entity gives another entity the opportunity to be seen, noticed, or become known by a particular audience, environment, or set of influences.
-
E.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 28, 2026, 4:51 a.m.