Triple
T37593520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halls of Reflection |
E935319
|
entity |
| Predicate | entranceAccess |
P5650
|
FINISHED |
| Object | unlocked after completing Pit of Saron |
—
|
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: unlocked after completing Pit of Saron | Statement: [Halls of Reflection, entranceAccess, unlocked after completing Pit of Saron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceAccess Context triple: [Halls of Reflection, entranceAccess, unlocked after completing Pit of Saron]
-
A.
guardedEntranceTo
Indicates that one entity serves as a protective or controlling barrier for access to another entity’s entrance.
-
B.
entranceTrait
Indicates a characteristic or feature associated with how an entity enters or is accessed (e.g., through a particular type or style of entrance).
-
C.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
D.
entranceVisibility
Indicates how easily or clearly an entrance can be seen or recognized from a given viewpoint or approach.
-
E.
hasEntranceControl
chosen
Indicates that an entity implements or is subject to mechanisms that regulate or control access to its entrance.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.