Triple
T19831344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC 348 |
E476466
|
entity |
| Predicate | clusterCore |
P132908
|
FINISHED |
| Object | compact |
—
|
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: compact | Statement: [IC 348, clusterCore, compact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clusterCore Context triple: [IC 348, clusterCore, compact]
-
A.
centerCoreReusable
Indicates that the central core component of a system or structure is designed to be reused rather than discarded after a single use.
-
B.
clusterConcentration
chosen
Indicates how densely the elements within a cluster are packed or distributed relative to one another.
-
C.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
D.
clusterStructure
Indicates that multiple entities are organized into a cluster, specifying how the elements are grouped and related within that clustered arrangement.
-
E.
hasCluster
Indicates that one entity possesses, contains, or is associated with a specific cluster or grouping of related elements.
- 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.