Triple
T3758657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunis Metro |
E82109
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Transtu |
E386961
|
NE 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: Transtu | Statement: [Tunis Metro, owner, Transtu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transtu Context triple: [Tunis Metro, owner, Transtu]
-
A.
Transtu
chosen
Transtu is the public transport authority in Tunis responsible for operating the city’s metro and other urban transit services.
-
B.
Transy
Transy is the commonly used nickname for Transylvania University, a private liberal arts college in Lexington, Kentucky.
-
C.
Trasianka
Trasianka is a mixed East Slavic speech variety, primarily combining elements of Belarusian and Russian, commonly used in informal communication in Belarus.
-
D.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
E.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc20b20819095fedf803aadc53a |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f0321c4c8190ba372148c483c4ca |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.