Triple
T7911861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamalaiyar Temple |
E183717
|
entity |
| Predicate | sacredHillHeight |
P79738
|
FINISHED |
| Object | about 814 metres |
—
|
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: about 814 metres | Statement: [Annamalaiyar Temple, sacredHillHeight, about 814 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredHillHeight Context triple: [Annamalaiyar Temple, sacredHillHeight, about 814 metres]
-
A.
holyMountain
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
B.
notableStructureOnHill
Indicates that a notable or significant structure is located on top of, or situated upon, a hill.
-
C.
pilgrimageAltitudeHighPoint
Indicates the highest altitude reached along a pilgrimage route or during a pilgrimage journey.
-
D.
hasHillSize
Indicates that something possesses or is characterized by a particular hill size.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a725b8c8190a530adb3107a95dd |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:04 p.m.