Triple
T34384122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietà |
E882512
|
entity |
| Predicate | hasProminentFacility |
P105
|
FINISHED |
| Object |
Mater Dei Hospital
Mater Dei Hospital is Malta’s main public general hospital and teaching medical center, located near Pietà and serving as the country’s primary acute healthcare facility.
|
E2098218
|
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: Mater Dei Hospital | Statement: [Pietà, hasProminentFacility, Mater Dei Hospital]
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: Mater Dei Hospital Triple: [Pietà, hasProminentFacility, Mater Dei Hospital]
Generated description
Mater Dei Hospital is Malta’s main public general hospital and teaching medical center, located near Pietà and serving as the country’s primary acute healthcare facility.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentFacility Context triple: [Pietà, hasProminentFacility, Mater Dei Hospital]
-
A.
hasNotableFacility
chosen
Indicates that an entity possesses or hosts a facility that is of particular significance, prominence, or interest.
-
B.
hasProminentLocation
Indicates that an entity occupies a highly visible, central, or otherwise notable position within a given space or context.
-
C.
isMajorFacilityOn
Indicates that a facility is a primary or significant installation located on or associated with a particular entity or site.
-
D.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
E.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0303622ce08190b359c9d247268729 |
completed | May 12, 2026, 10:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37211fbc508190a0daf2aa5b63e3ba |
completed | June 20, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_6a3721d614908190a25d92255fe1b393 |
completed | June 20, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a372258e0948190807baa91b3465ef8 |
completed | June 20, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_6a03030c02fc81908e546dba291b1240 |
completed | May 12, 2026, 10:38 a.m. |
Created at: May 1, 2026, 1:59 a.m.