Triple
T35873484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coatepeque |
E1037290
|
entity |
| Predicate | hasBorderingCountryViaRegion |
P60391
|
FINISHED |
| Object | Mexico |
—
|
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: Mexico | Statement: [Coatepeque, hasBorderingCountryViaRegion, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderingCountryViaRegion Context triple: [Coatepeque, hasBorderingCountryViaRegion, Mexico]
-
A.
borderingCountryOfRegion
chosen
Indicates that a country shares a land or maritime border with a specified geographic region.
-
B.
geographicallyBorders
Indicates that two geographic entities share a common boundary or border.
-
C.
hasEconomicRegionAlongBorder
Indicates that two entities share a border along which a defined economic region or zone exists or is recognized.
-
D.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
E.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:06 p.m.