Triple
T6057753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire on the Mountain |
E134956
|
entity |
| Predicate | hasFanAbbreviation |
P68021
|
FINISHED |
| Object | FOTM |
—
|
LITERAL 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: FOTM | Statement: [Fire on the Mountain, hasFanAbbreviation, FOTM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanAbbreviation Context triple: [Fire on the Mountain, hasFanAbbreviation, FOTM]
-
A.
abbreviationOfTeam
Indicates that one term is an abbreviation or shortened form of a team’s full name.
-
B.
federationAbbreviation
Indicates that one entity is the standard short-form or abbreviated designation of a federation associated with another entity.
-
C.
usesLeagueAbbreviationFormat
Indicates that something follows or applies the abbreviation format convention used by a particular league.
-
D.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
E.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
- F. None of above. chosen
Provenance (4 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570d00e88190b2d8d596e40378d9 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:09 p.m.