Triple
T15257518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manteca, California |
E364684
|
entity |
| Predicate | distanceToSanFranciscoKm |
P14064
|
FINISHED |
| Object | ~110 |
—
|
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: ~110 | Statement: [Manteca, California, distanceToSanFranciscoKm, ~110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSanFranciscoKm Context triple: [Manteca, California, distanceToSanFranciscoKm, ~110]
-
A.
distanceFromSanFrancisco
chosen
Indicates the measured distance between a given entity’s location and the city of San Francisco.
-
B.
distanceToFresno
Indicates the physical distance between a given location or entity and the city of Fresno.
-
C.
distanceFromSanJosé
Indicates the measured spatial distance between a given entity and the location of San José.
-
D.
distanceToSanJosé
Indicates the spatial distance between a given entity and the location of San José.
-
E.
distanceFromSacramento
Indicates the measured distance between a given location and the city of Sacramento.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.