Triple
T288974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCLC |
E5946
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SCLC |
E5946
|
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: SCLC | Statement: [SCLC, abbreviation, SCLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCLC Context triple: [SCLC, abbreviation, SCLC]
-
A.
SCLC
chosen
SCLC is a prominent American civil rights organization founded in 1957 that played a central role in the nonviolent struggle against racial segregation, led in part by Martin Luther King Jr.
-
B.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
C.
CSCO
CSCO is the stock ticker symbol for Cisco Systems, Inc., a leading multinational technology company specializing in networking hardware, software, and telecommunications equipment.
-
D.
TNM
TNM is the IATA airport code for Teniente Rodolfo Marsh Martin Aerodrome, a Chilean airfield located on King George Island in Antarctica.
-
E.
CHOP
CHOP is a leading pediatric hospital and research institution in Philadelphia renowned for its specialized care for children and groundbreaking medical research.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d08ef048190b0b382f8a0bc6c87 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.