Triple
T4893234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafficking in Persons Report |
E109612
|
entity |
| Predicate | definesTier |
P37057
|
FINISHED |
| Object | Tier 1 |
—
|
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: Tier 1 | Statement: [Trafficking in Persons Report, definesTier, Tier 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesTier Context triple: [Trafficking in Persons Report, definesTier, Tier 1]
-
A.
rankTier
chosen
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
B.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
-
C.
hasTierName
Indicates that an entity is associated with a specific tier by its name.
-
D.
fourthTier
Indicates that one entity occupies the fourth level, rank, or tier in a hierarchical ordering or classification relative to others.
-
E.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.