Triple
T24715647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarehall |
E612150
|
entity |
| Predicate | hasNearbyRetail |
P5648
|
FINISHED |
| Object |
Tesco Clarehall
Tesco Clarehall is a large Tesco supermarket and retail outlet serving shoppers in the Clarehall area of Dublin, Ireland.
|
E1646525
|
NE FINISHED |
How this triple was built (3 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: Tesco Clarehall | Statement: [Clarehall, hasNearbyRetail, Tesco Clarehall]
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: Tesco Clarehall Triple: [Clarehall, hasNearbyRetail, Tesco Clarehall]
Generated description
Tesco Clarehall is a large Tesco supermarket and retail outlet serving shoppers in the Clarehall area of Dublin, Ireland.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyRetail Context triple: [Clarehall, hasNearbyRetail, Tesco Clarehall]
-
A.
hasConvenienceStore
Indicates that one entity possesses, contains, or is associated with a convenience store.
-
B.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
C.
hasNearbyFacility
chosen
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
D.
hasMajorCompanyNearby
Indicates that a location or entity is situated close to at least one large or significant company.
-
E.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
- F. None of above.
Provenance (6 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101013220881908d035b4c37749f51 |
completed | May 22, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a10136d2c448190918a7eeb751a2a84 |
completed | May 22, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10143c5c84819081dd4f953fa9841a |
completed | May 22, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:36 a.m.