Triple
T12920861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMT |
E309114
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | TMT |
E309114
|
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: TMT | Statement: [TMT, ISO4217Code, TMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMT Context triple: [TMT, ISO4217Code, TMT]
-
A.
TMT
chosen
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
-
B.
TMT
TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
-
C.
TMTA
TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
-
D.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
E.
TI
TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:41 p.m.