Triple
T9251308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Javier, Baja California Sur |
E222328
|
entity |
| Predicate | distanceFromLoreto |
P87787
|
FINISHED |
| Object | approximately 35 kilometers southwest |
—
|
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 35 kilometers southwest | Statement: [San Javier, Baja California Sur, distanceFromLoreto, approximately 35 kilometers southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLoreto Context triple: [San Javier, Baja California Sur, distanceFromLoreto, approximately 35 kilometers southwest]
-
A.
distanceToHampi
Indicates the measured or specified distance between a given entity or location and Hampi.
-
B.
distanceFromPorto
Indicates the measured distance between a given place or entity and the city of Porto.
-
C.
distanceFromLisbon
Indicates the measured spatial distance between a given entity’s location and the city of Lisbon.
-
D.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
-
E.
distanceFromLima
Indicates the measured distance between a given place or object and the city of Lima.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f9ade48190ac8425a1c6f066b1 |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:31 p.m.