Triple
T14719871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danvers State Hospital site |
E345782
|
entity |
| Predicate | originalHospitalClosed |
P115511
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Danvers State Hospital site, originalHospitalClosed, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalHospitalClosed Context triple: [Danvers State Hospital site, originalHospitalClosed, 1992]
-
A.
containsHospital
Indicates that one entity includes or encompasses a hospital within its boundaries or composition.
-
B.
originalStationClosed
Indicates that the original station associated with an entity has been closed or is no longer in operation.
-
C.
hospitalizedIn
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
-
D.
hospitalEstablishedIn
Indicates that a hospital was founded, opened, or began operating in a specific year or time period.
-
E.
hospitalLocation
Indicates the geographic place or address where a hospital is situated.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98823408190b4b58a4c4a3fa3a3 |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.