Triple
T1520508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPE |
E32215
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object | SPE |
E32215
|
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: SPE | Statement: [SPE, hasAcronym, SPE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPE Context triple: [SPE, hasAcronym, SPE]
-
A.
SPE
chosen
SPE is a landmark 1968 work in generative phonology by Noam Chomsky and Morris Halle that systematically analyzes the sound structure of English and helped shape modern linguistic theory.
-
B.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
C.
SPR
The Strategic Petroleum Reserve (SPR) is the United States’ emergency stockpile of crude oil maintained to mitigate disruptions in petroleum supplies.
-
D.
SPP
SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
-
E.
SE
SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907f071848190a5fb8fa1b97ef4de |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294d01c48190bb2f49ad4f1b0a1a |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.