Triple
T36958594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plasma Gun (Quake) |
E914249
|
entity |
| Predicate | aimingDifficulty |
P2406
|
FINISHED |
| Object | less accurate at long range |
—
|
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: less accurate at long range | Statement: [Plasma Gun (Quake), aimingDifficulty, less accurate at long range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimingDifficulty Context triple: [Plasma Gun (Quake), aimingDifficulty, less accurate at long range]
-
A.
aimingMethod
Indicates the technique or approach used to direct or aim an action, object, or effect toward a target.
-
B.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
C.
difficultyOption
Indicates a relationship where a particular option specifies or represents a level of difficulty for something (e.g., a task, question, or activity).
-
D.
difficultyModes
Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
-
E.
aimsToCapture
Indicates an intention or effort by one entity to take control of, seize, or gain possession of another entity.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.