Triple
T29654917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Templar |
E750238
|
entity |
| Predicate | technologyTier |
P2086
|
FINISHED |
| Object | late game tech |
—
|
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: late game tech | Statement: [Dark Templar, technologyTier, late game tech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyTier Context triple: [Dark Templar, technologyTier, late game tech]
-
A.
technologyLevel
chosen
Indicates the degree of technological advancement or sophistication associated with an entity relative to others or to a defined scale.
-
B.
technicalGrade
Indicates the level or classification of technical quality, complexity, or proficiency assigned to something.
-
C.
technologyLevelComparedTo
Indicates how the technological advancement of one entity compares relative to that of another entity.
-
D.
technologyClass
Indicates the classification or category of technology to which an entity belongs.
-
E.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:54 p.m.