Triple
T32306033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandalay Township |
E825370
|
entity |
| Predicate | governingCountryCapitalProximity |
P117282
|
FINISHED |
| Object | north of Naypyidaw |
—
|
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: north of Naypyidaw | Statement: [Mandalay Township, governingCountryCapitalProximity, north of Naypyidaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountryCapitalProximity Context triple: [Mandalay Township, governingCountryCapitalProximity, north of Naypyidaw]
-
A.
countryCapitalNearby
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
B.
isNearCapitalCity
chosen
Indicates that an entity is located close to, or in the immediate vicinity of, a capital city.
-
C.
governingCountryCapitalConnectedTo
Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
-
D.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
E.
regionCapitalNearby
Indicates that a capital city of a region is located close to the referenced place or entity.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
Created at: May 1, 2026, 12:45 a.m.