Triple
T8032393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topaz Museum |
E187017
|
entity |
| Predicate | hasMissionStatementKeyword |
P41737
|
FINISHED |
| Object | preserve |
—
|
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: preserve | Statement: [Topaz Museum, hasMissionStatementKeyword, preserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMissionStatementKeyword Context triple: [Topaz Museum, hasMissionStatementKeyword, preserve]
-
A.
hasMissionStatement
Indicates that an entity possesses a formal mission statement that articulates its core purpose, goals, or guiding principles.
-
B.
hasMissionStatementAspect
chosen
Indicates that something includes, expresses, or pertains to a particular aspect or component of a mission statement.
-
C.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
D.
goalStatementIncludes
Indicates that a goal statement contains or explicitly mentions a particular element, concept, or condition.
-
E.
hasMottoInText
Indicates that an entity has a motto expressed in a specific textual form or wording.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.