Triple
T13916928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazarduari Palace |
E334645
|
entity |
| Predicate | hasNumberOfFalseDoors |
P112279
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [Hazarduari Palace, hasNumberOfFalseDoors, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfFalseDoors Context triple: [Hazarduari Palace, hasNumberOfFalseDoors, 100]
-
A.
hasSecretExits
Indicates that an entity possesses one or more hidden or concealed exits that are not part of its normal, visible access points.
-
B.
containsTreasureRoom
Indicates that an entity includes or encompasses a room designated as a treasure room within its structure or area.
-
C.
hasSecretExit
Indicates that something includes or is connected to a hidden or concealed way out.
-
D.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
E.
hasApproximateNumberOfCaves
Indicates that an entity is associated with an estimated or non-exact number of caves.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.