Triple
T37612559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelechol |
E935825
|
entity |
| Predicate | sharesLegalSystemWithCountry |
P16986
|
FINISHED |
| Object | Palau |
—
|
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: Palau | Statement: [Chelechol, sharesLegalSystemWithCountry, Palau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesLegalSystemWithCountry Context triple: [Chelechol, sharesLegalSystemWithCountry, Palau]
-
A.
legalSystemRegion
Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
-
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.
countryOfLegalSystem
Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
-
D.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
E.
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.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: May 3, 2026, 4:18 p.m.