Triple
T25902355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laredo Port of Entry |
E652650
|
entity |
| Predicate | borderStateMexico |
P11088
|
FINISHED |
| Object | Tamaulipas |
—
|
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: Tamaulipas | Statement: [Laredo Port of Entry, borderStateMexico, Tamaulipas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderStateMexico Context triple: [Laredo Port of Entry, borderStateMexico, Tamaulipas]
-
A.
borderTypeWithMexico
Indicates the type or nature of the border that an entity shares with Mexico.
-
B.
bordersMexicanState
chosen
Indicates that one entity shares a land or maritime boundary with a state of Mexico.
-
C.
borderCityOnMexicanSide
Indicates that a city is located on the Mexican side of an international border shared with another country.
-
D.
governingCountryForMexicanSide
Indicates the country that holds governing authority or jurisdiction over the Mexican side of a specified border, area, or context.
-
E.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 22, 2026, 8:26 a.m.