Triple
T3455702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATMB |
E72897
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ATMB |
E72897
|
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: ATMB | Statement: [ATMB, hasAbbreviation, ATMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATMB Context triple: [ATMB, hasAbbreviation, ATMB]
-
A.
ATMB
chosen
ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
-
B.
AMB
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
-
C.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
D.
TMB
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
-
E.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361014b1c81909b6db97ec2395b73 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.