Triple
T28188841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPFS |
E716246
|
entity |
| Predicate | metadataPlacement |
P62335
|
FINISHED |
| Object | distributed metadata |
—
|
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: distributed metadata | Statement: [HPFS, metadataPlacement, distributed metadata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metadataPlacement Context triple: [HPFS, metadataPlacement, distributed metadata]
-
A.
metadataLocation
chosen
Indicates the location or source where descriptive or administrative information about an entity is stored or can be accessed.
-
B.
canonicalPlacement
Indicates the standard or preferred position or arrangement of one entity relative to another within a defined structure or system.
-
C.
materializationLocation
Indicates the place or setting where something comes into physical existence or is brought into a concrete form.
-
D.
placementType
Indicates the specific manner or category in which something is positioned, arranged, or assigned within a given context.
-
E.
deploymentLocation
Indicates the place or environment where something (such as a system, resource, or component) is deployed or put into operational use.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 10:24 p.m.