Triple
T38590502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydaelyn |
E932441
|
entity |
| Predicate | hasShard |
P192122
|
FINISHED |
| Object | The Source |
—
|
NE NERFINISHED |
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: The Source | Statement: [Hydaelyn, hasShard, The Source]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShard Context triple: [Hydaelyn, hasShard, The Source]
-
A.
hasShardCount
Indicates that an entity is associated with a specific number of shards into which it is divided or distributed.
-
B.
hasCluster
Indicates that one entity possesses, contains, or is associated with a specific cluster or grouping of related elements.
-
C.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
D.
shardModel
Indicates that a model is partitioned into multiple shards, each holding a subset of its parameters or data, to enable distributed storage or computation.
-
E.
hasPrimaryClusterIn
Indicates that an entity’s main or most significant cluster is located within or associated with a specified cluster or grouping.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 3, 2026, 4:32 p.m.