Triple
T31640194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverwijk |
E807426
|
entity |
| Predicate | hasSpecializedCenter |
P145008
|
FINISHED |
| Object |
Burns treatment center
The Burns treatment center in Beverwijk is a specialized medical facility focused on the comprehensive care, rehabilitation, and research of patients with severe burn injuries.
|
E1971444
|
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: Burns treatment center | Statement: [Beverwijk, hasSpecializedCenter, Burns treatment center]
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: Burns treatment center Triple: [Beverwijk, hasSpecializedCenter, Burns treatment center]
Generated description
The Burns treatment center in Beverwijk is a specialized medical facility focused on the comprehensive care, rehabilitation, and research of patients with severe burn injuries.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecializedCenter Context triple: [Beverwijk, hasSpecializedCenter, Burns treatment center]
-
A.
hasAffiliatedCenter
chosen
Indicates that one entity is formally connected or associated with a particular center, such as an institution, facility, or organizational unit.
-
B.
hasSpecialist
Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
-
C.
hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
-
D.
isMajorTertiaryCenterIn
Indicates that an entity functions as a primary large-scale (major) third-level (tertiary) service or activity hub located within a specified area or region.
-
E.
hasJurisdictionalCenter
Indicates that an administrative or legal authority is associated with a specific central location from which its jurisdiction is exercised or managed.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b79daba188190b3666e4e4f1d2fb5 |
completed | June 12, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_6a2b7c00f3f481908374741f61c6e10c |
completed | June 12, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b7cc8af648190bc6c0b9472a89846 |
completed | June 12, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 30, 2026, 10:49 p.m.