Triple
T38468657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luchazes Municipality |
E912647
|
entity |
| Predicate | borderingCountryOfProvince |
P201940
|
FINISHED |
| Object | Zambia |
—
|
NE NERFINISHED |
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: Zambia | Statement: [Luchazes Municipality, borderingCountryOfProvince, Zambia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCountryOfProvince Context triple: [Luchazes Municipality, borderingCountryOfProvince, Zambia]
-
A.
borderingCountryOfItsProvince
Indicates that one country shares a land border with the country to which a given province belongs.
-
B.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
C.
borderingStateOrProvince
Indicates that one state or province shares a common boundary with another state or province.
-
D.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
E.
borderingCountryOfTerritory
Indicates that one country shares a land or maritime boundary with the specified territory.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00372ff0e48190b3ed91f9bae9da6c |
completed | May 10, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_6a00359c1b8481909c1e43df9f5a789a |
completed | May 10, 2026, 7:37 a.m. |
| PDg | Predicate description generation | batch_6a00372f29548190bc5b8f0c0ece3cac |
completed | May 10, 2026, 7:43 a.m. |
Created at: May 3, 2026, 4:31 p.m.