Triple
T10329411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Push API |
E242837
|
entity |
| Predicate | notSameAs |
P1612
|
FINISHED |
| Object | Server-Sent Events |
E827349
|
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: Server-Sent Events | Statement: [Push API, notSameAs, Server-Sent Events]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Server-Sent Events Context triple: [Push API, notSameAs, Server-Sent Events]
-
A.
Server-Sent Events
chosen
Server-Sent Events is a web technology that enables servers to push real-time, one-way event updates to clients over a single long-lived HTTP connection.
-
B.
SSE
SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
-
C.
SSE
SSE (Streaming SIMD Extensions) is an Intel processor instruction set extension that accelerates multimedia, floating-point, and parallel data processing operations.
-
D.
SSE
SSE is the commonly used abbreviation for the Shanghai Stock Exchange, one of the largest stock exchanges in the world and a major financial hub in China.
-
E.
SSE
SSE is the abbreviated name of the Hellenic Military Academy, Greece’s premier institution for training army officers.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7504679ec8190926d2c5016653cea |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:52 a.m.