Triple
T7885181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical Chamber of Greece |
E183083
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | TEE |
E696294
|
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: TEE | Statement: [Technical Chamber of Greece, hasAbbreviation, TEE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEE Context triple: [Technical Chamber of Greece, hasAbbreviation, TEE]
-
A.
TEE
chosen
TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
-
B.
TTE
TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
-
C.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
D.
tet
tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
-
E.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d62a148190bed4e0d199aa427b |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfa64c148190bf2b872bbfda1b3e |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 4:59 p.m.