Triple
T127293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisia |
E2577
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
TUN
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
|
E14014
|
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: TUN | Statement: [Tunisia, ISO3166-1Alpha3, TUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUN Context triple: [Tunisia, ISO3166-1Alpha3, TUN]
-
A.
TFTP
TFTP (Trivial File Transfer Protocol) is a simple, lightweight file transfer protocol commonly used for tasks like network booting and device configuration in constrained environments.
-
B.
Telnet
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
-
C.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
D.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
E.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
- 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: TUN Triple: [Tunisia, ISO3166-1Alpha3, TUN]
Generated description
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUN Target entity description: TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
-
A.
TFTP
TFTP (Trivial File Transfer Protocol) is a simple, lightweight file transfer protocol commonly used for tasks like network booting and device configuration in constrained environments.
-
B.
Telnet
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
-
C.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
D.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
E.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25761e9248190a7205bfc36cb5c45 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e4aeab48190bf2d140956278a42 |
completed | Feb. 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69a29ea7c9948190892047b2dec2505f |
completed | Feb. 28, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a05bd0208190b9f6a8023ddeb04d |
completed | Feb. 28, 2026, 7:59 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.