Triple
T32777200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 33 of the United Nations Charter |
E838247
|
entity |
| Predicate | listsMeansOfSettlement |
P175109
|
FINISHED |
| Object | negotiation |
—
|
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: negotiation | Statement: [Article 33 of the United Nations Charter, listsMeansOfSettlement, negotiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsMeansOfSettlement Context triple: [Article 33 of the United Nations Charter, listsMeansOfSettlement, negotiation]
-
A.
humanSettlementType
Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
-
B.
notableHumanSettlement
Indicates that a location is recognized as a significant or noteworthy human settlement, such as a city, town, or village.
-
C.
organizedSettlement
Indicates that an entity actively planned, coordinated, and arranged the establishment or occurrence of a settlement.
-
D.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
E.
typicalSettlement
Indicates that the subject is a common or characteristic type of settlement typically found in the context of the object.
- F. None of above. chosen
Provenance (4 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:13 a.m.