Triple
T13205168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Physikalisch-Technische Reichsanstalt |
E314340
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | PTR |
E314340
|
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: PTR | Statement: [Physikalisch-Technische Reichsanstalt, shortName, PTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTR Context triple: [Physikalisch-Technische Reichsanstalt, shortName, PTR]
-
A.
PTR
chosen
PTR was the abbreviation for the Physikalisch-Technische Reichsanstalt, the German national institute for standards and scientific-technical metrology in the early 20th century.
-
B.
PTR
PTR is the New York Stock Exchange ticker symbol for PetroChina Company Limited, one of China’s largest state-owned oil and gas producers.
-
C.
PT
PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
-
D.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
E.
PT
PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60eee288190bdb3ed6110394e48 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.