Triple
T11682927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisenhüttenstadt |
E277662
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | LOS |
E501868
|
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: LOS | Statement: [Eisenhüttenstadt, hasVehicleRegistrationCode, LOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOS Context triple: [Eisenhüttenstadt, hasVehicleRegistrationCode, LOS]
-
A.
LOS
LOS is the IATA airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
-
B.
LOS
chosen
LOS is the vehicle registration code for the Oder-Spree district in the German state of Brandenburg.
-
C.
LOS
LOS is the National Rail station code for Lostwithiel railway station in Cornwall, England.
-
D.
LO
LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
-
E.
LO
LO is the IATA airline designator used for LOT Polish Airlines, the flag carrier of Poland.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.