Triple
T23244068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic thick disk |
E581534
|
entity |
| Predicate | hasFormationScenarios |
P151506
|
FINISHED |
| Object | heating of early thin disk by mergers |
—
|
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: heating of early thin disk by mergers | Statement: [Galactic thick disk, hasFormationScenarios, heating of early thin disk by mergers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormationScenarios Context triple: [Galactic thick disk, hasFormationScenarios, heating of early thin disk by mergers]
-
A.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
B.
hasFiveMajorFormations
Indicates that an entity possesses or is associated with exactly five primary or principal formations.
-
C.
hasFormationStage
Indicates that an entity is associated with a particular stage or phase in its formation or development process.
-
D.
hasFieldFormation
Indicates that an entity possesses or exhibits a particular field formation, such as a structured arrangement or configuration of fields.
-
E.
numberOfFormations
Indicates the count of distinct formations associated with or involved in a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:10 p.m.