Triple
T700736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish colonization of Equatorial Guinea |
E13992
|
entity |
| Predicate | introducedLegalSystem |
P16986
|
FINISHED |
| Object | Spanish civil law |
—
|
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: Spanish civil law | Statement: [Spanish colonization of Equatorial Guinea, introducedLegalSystem, Spanish civil law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedLegalSystem Context triple: [Spanish colonization of Equatorial Guinea, introducedLegalSystem, Spanish civil law]
-
A.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
B.
relatedLegalSystem
chosen
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
C.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
D.
legalSystemWorkedOn
Indicates that a legal system has been applied to, influenced, or modified by some agent or process.
-
E.
historicalLaw
Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.