Triple
T19944064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J/TIP |
E479377
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | TIP Office |
—
|
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: TIP Office | Statement: [J/TIP, alsoKnownAs, TIP Office]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIP Office Context triple: [J/TIP, alsoKnownAs, TIP Office]
-
A.
TIP Office
chosen
The TIP Office is a U.S. State Department bureau responsible for leading global efforts to prevent human trafficking, protect victims, and prosecute traffickers.
-
B.
Tan Office
Tan Office is a small locality within the civil parish of Mendlesham in Suffolk, England.
-
C.
TIP Report
The TIP Report is the U.S. Department of State’s annual global assessment of governments’ efforts to combat human trafficking and modern slavery.
-
D.
J/TIP
J/TIP is the U.S. State Department’s Office to Monitor and Combat Trafficking in Persons, which leads federal and international efforts to prevent human trafficking, protect victims, and prosecute traffickers.
-
E.
TIP
TIP is the IATA airport code for Tripoli International Airport, the main international airport serving Tripoli, Libya.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a64b2788190a49c4ed40aa93b98 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.