Triple
T14617446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karpagambal |
E343120
|
entity |
| Predicate | hasShrineDirection |
P114896
|
FINISHED |
| Object | separate shrine within Kapaleeshwarar Temple complex |
—
|
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: separate shrine within Kapaleeshwarar Temple complex | Statement: [Karpagambal, hasShrineDirection, separate shrine within Kapaleeshwarar Temple complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShrineDirection Context triple: [Karpagambal, hasShrineDirection, separate shrine within Kapaleeshwarar Temple complex]
-
A.
mainShrineOrientation
Indicates the directional alignment or facing direction of a main shrine relative to a reference point or axis.
-
B.
hasGoddessShrineOrientation
Indicates the directional orientation or alignment of a shrine dedicated to a goddess in relation to a reference point or axis.
-
C.
containsShrine
chosen
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
D.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
E.
hasInnerShrine
Indicates that one entity contains or includes another entity that functions as an inner shrine within it.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.