Triple
T4636465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baguio |
E101543
|
entity |
| Predicate | distanceFromManila |
P57879
|
FINISHED |
| Object | approximately 250 kilometers north |
—
|
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 250 kilometers north | Statement: [Baguio, distanceFromManila, approximately 250 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromManila Context triple: [Baguio, distanceFromManila, approximately 250 kilometers north]
-
A.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
B.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
-
C.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
distanceToHoChiMinhCity
Indicates the physical distance between a given location or entity and Ho Chi Minh City.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f7b94481909f3335312becd446 |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.