Triple
T21558157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Lebanon Army |
E531945
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | SLA |
—
|
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: SLA | Statement: [South Lebanon Army, alternativeName, SLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLA Context triple: [South Lebanon Army, alternativeName, SLA]
-
A.
SLA
SLA is the commonly used abbreviation for the Society for Linguistic Anthropology, a professional organization dedicated to the study of language in its social and cultural contexts.
-
B.
SLA
chosen
The South Lebanon Army (SLA) was an Israeli-backed Lebanese militia that operated in southern Lebanon, primarily during the Lebanese Civil War and the Israeli occupation, until its collapse in 2000.
-
C.
SLA
SLA is the acronym commonly used to refer to the Sri Lanka Army, the land-based military branch of Sri Lanka’s armed forces.
-
D.
SLAS
SLAS is a satellite-based augmentation service used with Japan’s QZSS “Michibiki” navigation system to improve positioning accuracy and reliability.
-
E.
SLM
SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e14af88190bc70b4d0f3453aac |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.