Triple
T22491317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Salvador women's national football team |
E556024
|
entity |
| Predicate | FIFAcode |
P6278
|
FINISHED |
| Object | SLV |
—
|
NE NERFINISHED |
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: SLV | Statement: [El Salvador women's national football team, FIFAcode, SLV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLV Context triple: [El Salvador women's national football team, FIFAcode, SLV]
-
A.
SLV
SLV (Satellite Launch Vehicle) was India’s first experimental satellite launch vehicle, developed by ISRO to establish indigenous capability to place small satellites into low Earth orbit.
-
B.
SLV
chosen
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
-
C.
SLV
SLV is the IATA airport code for Shimla Airport in Himachal Pradesh, India.
-
D.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
E.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15caea9d081909adc90ae78999d53 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.