Triple
T33614502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subteniente López |
E861078
|
entity |
| Predicate | borderDirectionFromChetumal |
P199542
|
FINISHED |
| Object | southeast |
—
|
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: southeast | Statement: [Subteniente López, borderDirectionFromChetumal, southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDirectionFromChetumal Context triple: [Subteniente López, borderDirectionFromChetumal, southeast]
-
A.
borderDirectionFromGuatemala
Indicates the cardinal or relative direction in which another country or region lies along Guatemala’s border.
-
B.
borderTownGuatemala
Indicates that a town is located on or near the national border of Guatemala, functioning as a border town relative to that country.
-
C.
borderCityOnMexicanSide
Indicates that a city is located on the Mexican side of an international border shared with another country.
-
D.
borderDirectionFromCapital
Indicates the compass direction from a country's capital city to a specified border or neighboring entity.
-
E.
borderDirectionFromUS
Indicates the compass direction in which a country or region lies relative to the United States along their shared border.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
| PDg | Predicate description generation | batch_69ff4163a8548190b0eaafd0a377b141 |
completed | May 9, 2026, 2:14 p.m. |
Created at: May 1, 2026, 1:41 a.m.