Triple
T7255199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando, Pampanga |
E157700
|
entity |
| Predicate | distanceFromManila_km |
P57879
|
FINISHED |
| Object | about 67 |
—
|
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 67 | Statement: [San Fernando, Pampanga, distanceFromManila_km, about 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromManila_km Context triple: [San Fernando, Pampanga, distanceFromManila_km, about 67]
-
A.
distanceFromManila
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
B.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
-
C.
distanceToGuam
Indicates the spatial distance between a given entity or location and Guam.
-
D.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
E.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa0c76c81909fe43ed6938a13ea |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.