Triple
T32916982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamboo and Blood |
E842040
|
entity |
| Predicate | hasInspectorOSeriesEntry |
P200947
|
FINISHED |
| Object | third installment |
—
|
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: third installment | Statement: [Bamboo and Blood, hasInspectorOSeriesEntry, third installment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInspectorOSeriesEntry Context triple: [Bamboo and Blood, hasInspectorOSeriesEntry, third installment]
-
A.
hasInspectorTool
Indicates that an entity is associated with or utilizes a specific tool used for inspection or examination.
-
B.
hasHardwareSeries
Indicates that one hardware item belongs to, or is categorized under, a particular hardware series or product line.
-
C.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
D.
hasInspectionBody
Indicates that an entity is associated with or overseen by a specific organization responsible for inspecting or auditing it.
-
E.
isInspected
Indicates that an entity is examined or checked by another entity to assess its condition, quality, or compliance.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
| PDg | Predicate description generation | batch_69ffbb1b3b888190ba329ad321fc3f3d |
completed | May 9, 2026, 10:54 p.m. |
Created at: May 1, 2026, 1:19 a.m.