Triple
T5847864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Lakshmi Temple, Jhansi |
E129755
|
entity |
| Predicate | importanceLevel |
P15465
|
FINISHED |
| Object | prominent temple in Jhansi |
—
|
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: prominent temple in Jhansi | Statement: [Maha Lakshmi Temple, Jhansi, importanceLevel, prominent temple in Jhansi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceLevel Context triple: [Maha Lakshmi Temple, Jhansi, importanceLevel, prominent temple in Jhansi]
-
A.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
B.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
-
D.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
E.
typeOfSignificance
chosen
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.