Triple
T2066950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadsden Purchase agreement |
E45922
|
entity |
| Predicate | effectOnMexico |
P8692
|
FINISHED |
| Object | reduction of Mexican national territory |
—
|
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: reduction of Mexican national territory | Statement: [Gadsden Purchase agreement, effectOnMexico, reduction of Mexican national territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnMexico Context triple: [Gadsden Purchase agreement, effectOnMexico, reduction of Mexican national territory]
-
A.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
-
B.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
C.
isWalledCityNorthOfMexico
Indicates that a walled city is located geographically to the north of Mexico.
-
D.
casualtiesMexicanKilled
Indicates that the event or action resulted in Mexican individuals being killed as casualties.
-
E.
includesMexicanStatePartially
Indicates that one entity contains some, but not all, of the territory or extent of a Mexican 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f236f08190b602d337afb1880f |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.