Triple
T34110885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegu City |
E874835
|
entity |
| Predicate | directionFromYangon |
P195004
|
FINISHED |
| Object | northeast |
—
|
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: northeast | Statement: [Pegu City, directionFromYangon, northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromYangon Context triple: [Pegu City, directionFromYangon, northeast]
-
A.
borderDirectionFromMyanmar
Indicates the compass direction in which another country or region lies along its shared border with Myanmar.
-
B.
distanceFromMawlamyine_km
Indicates the distance, measured in kilometers, between a given place or entity and Mawlamyine.
-
C.
distanceFromMandalay
Indicates the measured distance between a given place or entity and the location of Mandalay.
-
D.
directionFromKampala
Indicates the cardinal or relative compass direction in which one location lies when measured outward from Kampala.
-
E.
directionFromColombo
Indicates the cardinal or relative compass direction of an entity’s location measured from Colombo.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 1, 2026, 1:53 a.m.