Triple
T13020789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babri Masjid |
E326163
|
entity |
| Predicate | postVerdictLandAllocation |
P2931
|
FINISHED |
| Object | land allocated for Ram temple |
—
|
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: land allocated for Ram temple | Statement: [Babri Masjid, postVerdictLandAllocation, land allocated for Ram temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postVerdictLandAllocation Context triple: [Babri Masjid, postVerdictLandAllocation, land allocated for Ram temple]
-
A.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
-
B.
verdict
Indicates the formal decision or judgment reached and declared at the conclusion of a legal or evaluative process.
-
C.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
-
D.
legalConclusion
Indicates that a situation, set of facts, or argument leads to or supports a specific determination or outcome under the law.
-
E.
legalOutcome
chosen
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.