Triple
T13591033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talacauvery |
E324691
|
entity |
| Predicate | hasStepsToHilltop |
P74535
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Talacauvery, hasStepsToHilltop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStepsToHilltop Context triple: [Talacauvery, hasStepsToHilltop, yes]
-
A.
hasStaircaseToSummit
chosen
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of something.
-
B.
hasApproximateNumberOfHills
Indicates that an entity is associated with an estimated or imprecise count of hills rather than an exact number.
-
C.
hasStepsLeadingTo
Indicates that one location or object is connected to another by a set of steps or a staircase leading toward it.
-
D.
isOnHill
Indicates that one entity is located on or atop a hill relative to another reference frame or context.
-
E.
numberOfStepsToSummit
Indicates the total count of steps required to reach the summit from a specified starting point.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.