Triple
T20637849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCl 117 |
E507132
|
entity |
| Predicate | shapleySawyerClass |
P40627
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [GCl 117, shapleySawyerClass, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapleySawyerClass Context triple: [GCl 117, shapleySawyerClass, I]
-
A.
ShapleySawyerConcentrationClass
chosen
Indicates the concentration class of a globular cluster as defined by the Shapley–Sawyer system, describing how centrally condensed or diffuse the cluster appears.
-
B.
gradeWithSash
Indicates that an entity is awarded or recognized with a grade that is visually or formally distinguished by a sash.
-
C.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
D.
JacksonSide
Indicates that one entity is located on, associated with, or positioned along the side of another entity named or characterized as "Jackson" (e.g., a street, river, or boundary side).
-
E.
SMASH Academy
Indicates a relationship where an entity is associated with or belongs to SMASH Academy, typically as a participant, member, or affiliate of that program or institution.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1163008190aa9df36750a952d2 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.