Triple
T5202148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M54 |
E117416
|
entity |
| Predicate | centralRegion |
P18596
|
FINISHED |
| Object | very compact and bright core |
—
|
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: very compact and bright core | Statement: [M54, centralRegion, very compact and bright core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralRegion Context triple: [M54, centralRegion, very compact and bright core]
-
A.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
B.
countyRegion
Indicates that a county is located within, or is administratively part of, a larger geographic region.
-
C.
coreRegionOf
chosen
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
-
D.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
-
E.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.