Triple
T19445730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 12 |
E486469
|
entity |
| Predicate | hasLooseStructure |
P135915
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Messier 12, hasLooseStructure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLooseStructure Context triple: [Messier 12, hasLooseStructure, true]
-
A.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
B.
hasRealStructure
Indicates that an abstract object or system is endowed with a concrete, well-defined mathematical or physical structure that makes it realizable or interpretable in a real-world or formal model.
-
C.
hasLogicalStructure
Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
-
D.
hasHiddenStructure
Indicates that an entity possesses an internal or underlying structure that is not directly visible or apparent.
-
E.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338921cc819083f8f918225d78e6 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.