Triple
T7775888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transnational Law and Contemporary Problems |
E221387
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TLCP
TLCP is a scholarly law journal focusing on international, transnational, and comparative legal issues.
|
E693025
|
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: TLCP | Statement: [Transnational Law and Contemporary Problems, hasAbbreviation, TLCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLCP Context triple: [Transnational Law and Contemporary Problems, hasAbbreviation, TLCP]
-
A.
TTCP
TTCP is the ICAO airport code for A.N.R. Robinson International Airport, the main international gateway to Tobago in Trinidad and Tobago.
-
B.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
-
C.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
-
D.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
E.
TLL
TLL is the three-letter IATA airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
- 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: TLCP Triple: [Transnational Law and Contemporary Problems, hasAbbreviation, TLCP]
Generated description
TLCP is a scholarly law journal focusing on international, transnational, and comparative legal issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TLCP Target entity description: TLCP is a scholarly law journal focusing on international, transnational, and comparative legal issues.
-
A.
TTCP
TTCP is the ICAO airport code for A.N.R. Robinson International Airport, the main international gateway to Tobago in Trinidad and Tobago.
-
B.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
-
C.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
-
D.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
E.
TLL
TLL is the three-letter IATA airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d005808190ac14c8d716421bdb |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf58a86548190b870417692e4b654 |
completed | March 30, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69caf81d934881908fa41ebd43f3b2e2 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69caf9f86d808190880f7bb2fc8d4fe3 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:03 p.m.