Triple
T26035275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracaibo Basin |
E647533
|
entity |
| Predicate | hasCityOnMargin |
P165022
|
FINISHED |
| Object | Maracaibo |
—
|
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: Maracaibo | Statement: [Maracaibo Basin, hasCityOnMargin, Maracaibo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityOnMargin Context triple: [Maracaibo Basin, hasCityOnMargin, Maracaibo]
-
A.
hasBorderCity
Indicates that one location is a city situated on or very near the border of another geographic or political region.
-
B.
hasOuterCity
Indicates that a city or settlement possesses an associated outer city area surrounding its main or inner city.
-
C.
hasInlandCity
Indicates that one entity has, contains, or is associated with a city located inland (away from the coast or major bodies of water).
-
D.
cityIsBorderCity
Indicates that a city is located on or near a boundary between two regions, countries, or administrative areas.
-
E.
hasSpecialCityWithinOrAdjacent
Indicates that a region includes, or directly borders, a city that has a designated special status (e.g., administrative, legal, or functional significance).
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 22, 2026, 9:07 a.m.