Triple
T15030153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-bana |
E378321
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | T-bana |
E378321
|
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: T-bana | Statement: [T-bana, shortName, T-bana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-bana Context triple: [T-bana, shortName, T-bana]
-
A.
T-bana
chosen
T-bana is the commonly used Swedish abbreviation for the Stockholm metro system, an extensive rapid transit network serving the Stockholm metropolitan area.
-
B.
Thebai
Thebai is the ancient Greek name for Thebes, the prominent city in Upper Egypt that served as a major religious and political center, especially during the New Kingdom.
-
C.
Tanto
Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
-
D.
Tene Kan
Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
-
E.
Toabaita
Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.