Triple
T15385700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FN-2187 |
E367910
|
entity |
| Predicate | designation |
P38
|
FINISHED |
| Object | FN-2187 |
E367910
|
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: FN-2187 | Statement: [FN-2187, designation, FN-2187]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FN-2187 Context triple: [FN-2187, designation, FN-2187]
-
A.
FN-2187
chosen
FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
-
B.
FR-82
FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
-
C.
FL-2
FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
-
D.
FuG 220
FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
-
E.
Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6d35148190aa4dc0c2a7bf849d |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:19 a.m.