Triple
T3844475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Jayawardenepura Kotte |
E93534
|
entity |
| Predicate | distanceFromColombo |
P18161
|
FINISHED |
| Object | approximately 8–10 km southeast of central Colombo |
—
|
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: approximately 8–10 km southeast of central Colombo | Statement: [Sri Jayawardenepura Kotte, distanceFromColombo, approximately 8–10 km southeast of central Colombo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromColombo Context triple: [Sri Jayawardenepura Kotte, distanceFromColombo, approximately 8–10 km southeast of central Colombo]
-
A.
distanceToColombo
chosen
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Colombo.
-
B.
distanceToSriLanka
Indicates the spatial distance between a given entity’s location and the country of Sri Lanka.
-
C.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
D.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
-
E.
distanceFromChennai
Indicates the spatial distance between a given entity or location and the city of Chennai.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.