Triple
T15704222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padmanabhaswamy Temple |
E380665
|
entity |
| Predicate | hasVaults |
P37562
|
FINISHED |
| Object | underground chambers containing gold and jewels |
—
|
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: underground chambers containing gold and jewels | Statement: [Padmanabhaswamy Temple, hasVaults, underground chambers containing gold and jewels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVaults Context triple: [Padmanabhaswamy Temple, hasVaults, underground chambers containing gold and jewels]
-
A.
hasVaultStatus
Indicates that an entity possesses a particular vault-related state or condition, such as being stored in, protected by, or associated with a vault.
-
B.
hasVaultType
Indicates that an entity is associated with or classified by a particular type or category of vault.
-
C.
hasGoldVault
chosen
Indicates that one entity possesses or contains a vault specifically used for storing gold.
-
D.
hasDeposits
Indicates that an entity holds or maintains deposited funds or resources in another entity, such as an account or institution.
-
E.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.