Triple
T1707277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Aviation Forces |
E36899
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FAMET |
E192338
|
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: FAMET | Statement: [Army Aviation Forces, abbreviation, FAMET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAMET Context triple: [Army Aviation Forces, abbreviation, FAMET]
-
A.
FAMET
chosen
FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
-
B.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
-
C.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
D.
Fuhse
Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
-
E.
FABLife
FABLife is a lifestyle-focused daytime talk show that featured a panel of hosts, including Chrissy Teigen, discussing topics like fashion, beauty, food, and pop culture.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f6fc9c8190b61cc9872cc2adc0 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0cf5a3481908434c725e85360a2 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.