Triple
T37044603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selfoss (waterfall) |
E916871
|
entity |
| Predicate | trailDistanceFromDettifoss |
P186937
|
FINISHED |
| Object | about 1 kilometre |
—
|
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 kilometre | Statement: [Selfoss (waterfall), trailDistanceFromDettifoss, about 1 kilometre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDistanceFromDettifoss Context triple: [Selfoss (waterfall), trailDistanceFromDettifoss, about 1 kilometre]
-
A.
distanceFromReykjavík
Indicates the spatial distance between an entity’s location and the city of Reykjavík.
-
B.
distanceFromLysebotn
Indicates the measured spatial distance between a given entity and the location Lysebotn.
-
C.
distanceToOldFaithfulGeyser
Indicates the spatial distance between a given entity and the Old Faithful Geyser.
-
D.
distanceToTromsø_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the location of Tromsø.
-
E.
distanceFromKeflavíkAirport
Indicates the measured distance between a given location and Keflavík Airport.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.