Triple
T16618616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TND |
E403760
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | TND |
E403760
|
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: TND | Statement: [TND, ISO4217Code, TND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TND Context triple: [TND, ISO4217Code, TND]
-
A.
TND
chosen
TND is the Tunisian dinar, the official currency of Tunisia.
-
B.
T&P
T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
-
C.
TANDTC
TANDTC is the official Vietnamese abbreviation for the Supreme People’s Court of Vietnam, the country’s highest judicial authority.
-
D.
TAD
TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
-
E.
TAD
TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754bc4cc8190a586732fc6507b40 |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.