Triple
T11432117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Austell |
E270908
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object |
Sticker
Sticker is a small village in Cornwall, England, known for its rural character and proximity to the town of St Austell.
|
E925471
|
NE FINISHED |
How this triple was built (4 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: Sticker | Statement: [St Austell, hasNearbyVillage, Sticker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sticker Context triple: [St Austell, hasNearbyVillage, Sticker]
-
A.
Super Stickers
Super Stickers are animated, paid digital stickers that viewers can purchase during YouTube live streams and Premieres to support creators and stand out in chat.
-
B.
Stamp
Stamp is a common English surname borne by various notable individuals, including the British actor Terence Stamp.
-
C.
Stikker
Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
-
D.
Stickies
Stickies is the nickname for the Official Irish Republican movement, a left-wing Irish republican organization that emerged from a split in the IRA in the late 1960s.
-
E.
Stickies
Stickies is a simple note-taking application for macOS that lets users create and manage virtual sticky notes on their desktop.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sticker Triple: [St Austell, hasNearbyVillage, Sticker]
Generated description
Sticker is a small village in Cornwall, England, known for its rural character and proximity to the town of St Austell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sticker Target entity description: Sticker is a small village in Cornwall, England, known for its rural character and proximity to the town of St Austell.
-
A.
Super Stickers
Super Stickers are animated, paid digital stickers that viewers can purchase during YouTube live streams and Premieres to support creators and stand out in chat.
-
B.
Stamp
Stamp is a common English surname borne by various notable individuals, including the British actor Terence Stamp.
-
C.
Stikker
Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
-
D.
Stickies
Stickies is the nickname for the Official Irish Republican movement, a left-wing Irish republican organization that emerged from a split in the IRA in the late 1960s.
-
E.
Stickies
Stickies is a simple note-taking application for macOS that lets users create and manage virtual sticky notes on their desktop.
- F. None of above. chosen
Provenance (5 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d36cee548190a8215ba088bdb01a |
completed | April 20, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69e5d615b6a08190b6000339bec4270d |
completed | April 20, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d924963c8190bfc55ffeb529a499 |
completed | April 20, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:35 p.m.