Triple
T37462273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awaken the Makers |
E930946
|
entity |
| Predicate | positionInPriestQuestCycle |
P201206
|
FINISHED |
| Object | Un'Goro Priest Quest |
—
|
NE NERFINISHED |
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: Un'Goro Priest Quest | Statement: [Awaken the Makers, positionInPriestQuestCycle, Un'Goro Priest Quest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPriestQuestCycle Context triple: [Awaken the Makers, positionInPriestQuestCycle, Un'Goro Priest Quest]
-
A.
positionInRitualSequence
Indicates the specific ordered place an action or element occupies within the sequence of steps in a ritual.
-
B.
positionOnRitual
Indicates the stance, role, or placement an entity holds with respect to a particular ritual or ceremonial practice.
-
C.
positionInChurch
Indicates that one entity holds a specific role, office, or rank within a church organization or hierarchy.
-
D.
positionInTemple
Indicates the specific location or role an entity occupies within a temple.
-
E.
positionInRosary
Indicates the specific sequential place an element occupies within the ordered structure of a rosary.
- 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_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
| PDg | Predicate description generation | batch_69ffde916fcc81908d6e1b4e6d3f761c |
completed | May 10, 2026, 1:25 a.m. |
Created at: May 3, 2026, 4:17 p.m.