Triple
T16238055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidcup |
E394166
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | SIDCUP |
E237400
|
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: SIDCUP | Statement: [Sidcup, postTown, SIDCUP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIDCUP Context triple: [Sidcup, postTown, SIDCUP]
-
A.
SIDCUP
chosen
SIDCUP is a suburban district in southeast London, England, known for its residential character and commuter links into central London.
-
B.
Star Cup
Star Cup is a recurring set of mid-to-late-game racing tracks featured in multiple Mario Kart titles.
-
C.
CUP
The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
-
D.
CUP
CUP is the National Rail station code for Cupar railway station in Fife, Scotland.
-
E.
CUP
The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455c7a3c81909e3b42edf03be43e |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edaf76c8190acc01f58845e570a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.