Triple
T3481539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palitana temples |
E73500
|
entity |
| Predicate | earliestStructuresDateFrom |
P49028
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [Palitana temples, earliestStructuresDateFrom, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestStructuresDateFrom Context triple: [Palitana temples, earliestStructuresDateFrom, 11th century]
-
A.
earliestMajorConstruction
Indicates the earliest significant construction event associated with an entity, such as the first major building or development work completed for it.
-
B.
isEarliestLargeScaleCutStoneConstructionIn
Indicates that a structure is the earliest known example of large-scale cut-stone construction within a specified place or region.
-
C.
earliestBurials
Indicates that the referenced burials are among the first or oldest known interments associated with a given site, group, or context.
-
D.
earliestRecordedFortification
Indicates that the subject is the earliest known or first historically recorded example of a particular fortification associated with the object.
-
E.
earliestTextsIn
Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb75850c8190ad02cf2bde8be8a7 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.