Triple
T23740333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rushikulya rookery, India |
E586655
|
entity |
| Predicate | oneOfWorldsLargest |
P30645
|
FINISHED |
| Object | olive ridley mass nesting sites |
—
|
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: olive ridley mass nesting sites | Statement: [Rushikulya rookery, India, oneOfWorldsLargest, olive ridley mass nesting sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfWorldsLargest Context triple: [Rushikulya rookery, India, oneOfWorldsLargest, olive ridley mass nesting sites]
-
A.
oneOfLargest
chosen
Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
-
B.
isLargestContiguousLandmass
Indicates that one landmass is the largest single, unbroken continuous area of land compared to all other landmasses in the relevant context.
-
C.
largestInCountry
Indicates that an entity is the largest of its kind within the specified country.
-
D.
isLargestIslandIn
Indicates that one island is the largest (by area) among all islands within a specified geographic or political region.
-
E.
hasLargestCountryByArea
Indicates that, among a set of compared entities, the subject is associated with the country that has the greatest land area.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad5209081909c44380816bec377 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.