Triple
T8378345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mausoleum of Constantina |
E197629
|
entity |
| Predicate | hasAmbulatory |
P82392
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Mausoleum of Constantina, hasAmbulatory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbulatory Context triple: [Mausoleum of Constantina, hasAmbulatory, true]
-
A.
hasEmergencyCare
Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
-
B.
hasClinicalService
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
C.
isAcuteCareFacility
Indicates that the entity functions as a healthcare facility providing short-term, intensive medical treatment for patients with severe or urgent conditions.
-
D.
hasDischarge
Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
-
E.
hasHospitalType
Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
- F. None of above. chosen
Provenance (4 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c229708190b813f5e7e44e10d4 |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:02 p.m.