Triple
T37635779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwollu |
E936483
|
entity |
| Predicate | distanceToWa |
P206013
|
FINISHED |
| Object | approximately 70–90 kilometres |
—
|
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 70–90 kilometres | Statement: [Gwollu, distanceToWa, approximately 70–90 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWa Context triple: [Gwollu, distanceToWa, approximately 70–90 kilometres]
-
A.
distanceToSeattle
Indicates the measured or calculated distance between a given entity’s location and the city of Seattle.
-
B.
distanceToOlympia
Indicates the measured spatial distance between a given location or object and Olympia.
-
C.
distanceFromTacoma (miles)
Indicates the physical distance, measured in miles, between an entity’s location and the city of Tacoma.
-
D.
distanceToBellingham
Indicates the measured or estimated distance between a given entity’s location and the location of Bellingham.
-
E.
distanceToWasillaInMiles
Indicates the numerical distance, measured in miles, between a given entity’s location and the city of Wasilla.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.