Triple
T38496411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rancho San Pedro |
E919704
|
entity |
| Predicate | treatyRelevant |
P5763
|
FINISHED |
| Object | Treaty of Guadalupe Hidalgo |
—
|
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: Treaty of Guadalupe Hidalgo | Statement: [Rancho San Pedro, treatyRelevant, Treaty of Guadalupe Hidalgo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatyRelevant Context triple: [Rancho San Pedro, treatyRelevant, Treaty of Guadalupe Hidalgo]
-
A.
relatedToTreaty
chosen
Indicates that there exists a connection, association, or relevance between an entity and a specific treaty or treaties.
-
B.
treatyMention
Indicates that a treaty is referenced or mentioned in relation to the associated entities or context.
-
C.
treatyFocus
Indicates that a treaty is primarily concerned with, directed toward, or centered on a particular subject, issue, or area.
-
D.
treatyReviewed
Indicates that a treaty has been examined and evaluated, typically for its terms, implications, or compliance, by an authorized party.
-
E.
relevantSectionForTreaty
Indicates that a specific legal or textual section is pertinent or applicable to a given treaty.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.