Triple
T19985746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room of Requirement |
E493924
|
entity |
| Predicate | accessedBySpell |
P138209
|
FINISHED |
| Object | does not require a specific spoken spell |
—
|
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: does not require a specific spoken spell | Statement: [Room of Requirement, accessedBySpell, does not require a specific spoken spell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessedBySpell Context triple: [Room of Requirement, accessedBySpell, does not require a specific spoken spell]
-
A.
usedSpell
Indicates that one entity has cast or employed a particular spell on or in relation to another entity or context.
-
B.
usedForSpell
Indicates that something serves as a component, tool, or resource employed in performing or casting a spell.
-
C.
underSpellBy
Indicates that one entity is magically influenced, controlled, or enchanted by another entity.
-
D.
notableSpell
Indicates that a particular spell is especially significant, famous, or noteworthy in some context.
-
E.
enchantedBy
Indicates that one entity has cast or holds a magical enchantment over another entity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d162b008190a18d325796d75d77 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.