Triple
T19831763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC 1590 |
E476476
|
entity |
| Predicate | hasMorphologicalEffect |
P27745
|
FINISHED |
| Object | creates pillars and globules in NGC 281 |
—
|
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: creates pillars and globules in NGC 281 | Statement: [IC 1590, hasMorphologicalEffect, creates pillars and globules in NGC 281]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMorphologicalEffect Context triple: [IC 1590, hasMorphologicalEffect, creates pillars and globules in NGC 281]
-
A.
modifiesMorphologyOf
chosen
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
B.
hasMorphologicalState
Indicates that an entity possesses or is characterized by a particular morphological condition, form, or structural state.
-
C.
hasMorphologyDistinctFrom
Indicates that the morphology (form or structure) of one entity is different from that of another entity.
-
D.
hasMorphosyntacticBasis
Indicates that one linguistic element’s form or syntactic behavior is grounded in, derived from, or systematically determined by another element’s morphosyntactic properties.
-
E.
hasVerbalMorphology
Indicates that one linguistic element exhibits verbal inflectional properties or patterns in relation to another.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.