Triple
T37824611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Bravo, Tamaulipas |
E943016
|
entity |
| Predicate | isPartOfBinationalRegionWith |
P150272
|
FINISHED |
| Object | South Texas |
—
|
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: South Texas | Statement: [Rio Bravo, Tamaulipas, isPartOfBinationalRegionWith, South Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfBinationalRegionWith Context triple: [Rio Bravo, Tamaulipas, isPartOfBinationalRegionWith, South Texas]
-
A.
sharesTrinationalAreaWith
Indicates that two entities are part of, or overlap within, the same geographic area jointly administered or recognized by three different nations.
-
B.
hasEconomicRegionAlongBorder
chosen
Indicates that two entities share a border along which a defined economic region or zone exists or is recognized.
-
C.
hasMajorBinationalComponent
Indicates that something involves a significant component jointly undertaken, governed, or shared by two different nations.
-
D.
hasCountryBorderWith
Indicates that two countries share a common land or maritime boundary.
-
E.
northernBorderLiesAcross
Indicates that the northern border of one region extends across or passes through the area of another region.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: May 3, 2026, 4:19 p.m.