Triple
T1804298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | THX 1138 |
E39786
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | SEN 5241 |
E94005
|
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: SEN 5241 | Statement: [THX 1138, mainCharacter, SEN 5241]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEN 5241 Context triple: [THX 1138, mainCharacter, SEN 5241]
-
A.
SEN
chosen
SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
-
B.
SCEL
SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
-
C.
S41
S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
-
D.
SIS
SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
-
E.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659648e8819085fafb60dc03f14b |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5dd01488190a96e0a8f3a77d524 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.