Triple
T21011336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARC |
E517555
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | SARC |
—
|
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: SARC | Statement: [SARC, acronym, SARC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SARC Context triple: [SARC, acronym, SARC]
-
A.
SARC
chosen
SARC is a leading interdisciplinary research center at Queen’s University Belfast focused on innovation in sound, music technology, and sonic arts.
-
B.
SARC
SARC is the ICAO airport code for Doctor Fernando Piragine Niveyro International Airport in Corrientes, Argentina.
-
C.
Sarca
The Sarca is a river in northern Italy that flows through the Trentino region and ultimately feeds into Lake Garda.
-
D.
SARCO
SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
-
E.
Sarmast
Sarmast is an honorific title associated with the renowned Sindhi Sufi poet and mystic Sachal Sarmast.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.