Triple
T38585021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magisters' Terrace |
E932326
|
entity |
| Predicate | supportsQuest |
P206548
|
FINISHED |
| Object | Magisters' Terrace related quests |
—
|
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: Magisters' Terrace related quests | Statement: [Magisters' Terrace, supportsQuest, Magisters' Terrace related quests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsQuest Context triple: [Magisters' Terrace, supportsQuest, Magisters' Terrace related quests]
-
A.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
-
B.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
C.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
-
D.
supportsProsecutionIn
Indicates that an entity provides assistance or backing to the prosecution side within a specified legal case or jurisdiction.
-
E.
supportGoal
Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.