Triple
T29654877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Templar |
E750237
|
entity |
| Predicate | isDetector |
P167554
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [High Templar, isDetector, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDetector Context triple: [High Templar, isDetector, no]
-
A.
mainDetector
Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
-
B.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
C.
primaryDetectorType
Indicates the main kind or category of detector that is used as the primary sensing or measurement component in a given context.
-
D.
usedInDetector
Indicates that something (e.g., a component, material, or method) is employed as part of a detector or detection system.
-
E.
hasModeOfDetection
Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f66f269b908190a8a5f65bac23f083 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:54 p.m.