Triple
T1582424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocos (Keeling) Islands |
E33794
|
entity |
| Predicate | distanceToSriLanka |
P32870
|
FINISHED |
| Object | about 1,000 km southwest of Sumatra and on route between Australia and Sri Lanka |
—
|
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: about 1,000 km southwest of Sumatra and on route between Australia and Sri Lanka | Statement: [Cocos (Keeling) Islands, distanceToSriLanka, about 1,000 km southwest of Sumatra and on route between Australia and Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSriLanka Context triple: [Cocos (Keeling) Islands, distanceToSriLanka, about 1,000 km southwest of Sumatra and on route between Australia and Sri Lanka]
-
A.
distanceToColombo
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Colombo.
-
B.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
C.
distanceToHoniaraApprox
Indicates an approximate distance measurement between a given entity’s location and the location of Honiara.
-
D.
distanceToBangladeshBorder_km
Indicates the distance, measured in kilometers, from a given location to the nearest point on the border of Bangladesh.
-
E.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
- F. None of above. chosen
Provenance (4 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.