Triple
T930836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafficking in Persons Report |
E20087
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
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.
|
E109612
|
NE FINISHED |
How this triple was built (4 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 Report | Statement: [Trafficking in Persons Report, alsoKnownAs, TIP Report]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIP Report Context triple: [Trafficking in Persons Report, alsoKnownAs, TIP Report]
-
A.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
B.
Black Reports
Black Reports is an early compilation of decisions of the U.S. Supreme Court, published by reporter Henry Black before the establishment of the official United States Reports series.
-
C.
Zahlbericht
Zahlbericht is David Hilbert’s influential 1897 report on algebraic number theory that systematically organized and advanced the field.
-
D.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
E.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TIP Report Triple: [Trafficking in Persons Report, alsoKnownAs, TIP Report]
Generated description
The TIP Report is the U.S. Department of State’s annual global assessment of governments’ efforts to combat human trafficking and modern slavery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIP Report Target entity description: The TIP Report is the U.S. Department of State’s annual global assessment of governments’ efforts to combat human trafficking and modern slavery.
-
A.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
B.
Black Reports
Black Reports is an early compilation of decisions of the U.S. Supreme Court, published by reporter Henry Black before the establishment of the official United States Reports series.
-
C.
Zahlbericht
Zahlbericht is David Hilbert’s influential 1897 report on algebraic number theory that systematically organized and advanced the field.
-
D.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
E.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
- F. None of above. chosen
Provenance (5 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34b302c81908fa32cb18f551493 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee1108188190a26c73864c697061 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f1a1214481909538745d5713e402 |
completed | March 4, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f2303534819094ae764b20d223ee |
completed | March 4, 2026, 8:49 a.m. |
Created at: March 1, 2026, 7:40 p.m.