Triple
T3290766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEIR |
E69093
|
entity |
| Predicate | hasLatticeType |
P841
|
FINISHED |
| Object | synchrotron ring |
—
|
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: synchrotron ring | Statement: [LEIR, hasLatticeType, synchrotron ring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatticeType Context triple: [LEIR, hasLatticeType, synchrotron ring]
-
A.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
B.
hasTypeSystem
Indicates that an entity employs, is governed by, or is associated with a particular type system (a defined set of rules for classifying and constraining types).
-
C.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
isLargestTypeOf
Indicates that one entity represents the largest variant, category, or instance within a specified type or group relative to others.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05d0c908190a927d1af78e27de0 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada42407dc81909f60d7a14e1b7934 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.