Triple
T3984661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North London |
E86841
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Holloway |
E150388
|
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: Holloway | Statement: [North London, contains, Holloway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holloway Context triple: [North London, contains, Holloway]
-
A.
Holloway
chosen
Holloway is a district in the London Borough of Islington, England, known for its urban character and as the area surrounding Arsenal FC’s Emirates Stadium.
-
B.
Hansell
Hansell is a surname most notably associated with Haywood S. Hansell, a U.S. Army Air Forces general and early advocate of strategic precision bombing during World War II.
-
C.
Haggerty
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
D.
Hawkes
Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
-
E.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540284d548190821d37b68974a2d2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.