Triple
T37460335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gluth |
E930900
|
entity |
| Predicate | requiresMechanic |
P202142
|
FINISHED |
| Object | off-tank or kiter for zombie chow |
—
|
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: off-tank or kiter for zombie chow | Statement: [Gluth, requiresMechanic, off-tank or kiter for zombie chow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresMechanic Context triple: [Gluth, requiresMechanic, off-tank or kiter for zombie chow]
-
A.
associatedWithMechanic
Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
-
B.
cargoConditionMechanic
Indicates that a mechanic assesses, maintains, or reports on the condition of cargo.
-
C.
changesMechanic
Indicates that one entity alters, replaces, or modifies the underlying rules, systems, or mechanics governing another entity or process.
-
D.
mechanicalExpertise
Indicates that one entity possesses specialized knowledge or skill in understanding, operating, or repairing mechanical systems or devices in relation to another entity or context.
-
E.
mechanicRisk
Indicates that there is a potential danger, hazard, or adverse outcome associated with a particular mechanical process, operation, or mechanism.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
| PDg | Predicate description generation | batch_6a0058c26638819085d8cbaa0bd4ccf0 |
completed | May 10, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:17 p.m.