Triple
T14425023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNH |
E357673
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SNH |
E357673
|
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: SNH | Statement: [SNH, abbreviation, SNH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNH Context triple: [SNH, abbreviation, SNH]
-
A.
SNH
chosen
SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
-
B.
HNH
HNH is the National Rail station code for Herne Hill railway station in south London, England.
-
C.
SCHN
SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
-
D.
SN
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
-
E.
SN
SN is the commonly used abbreviation for NASA’s Space Network, a system of satellites and ground stations that relays communications between spacecraft and Earth.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bcd2a908190ad7d5ebf11b41551 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.