Triple
T34472658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy No. 2 Hoist House |
E884945
|
entity |
| Predicate | hasVisitorCenterRole |
P193014
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Quincy No. 2 Hoist House, hasVisitorCenterRole, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisitorCenterRole Context triple: [Quincy No. 2 Hoist House, hasVisitorCenterRole, false]
-
A.
hasVisitorCenterFeature
Indicates that a visitor center possesses or includes a particular feature, amenity, or characteristic.
-
B.
hasVisitorCenterBy
Indicates that a location or site is served or administered by a specific visitor center.
-
C.
hasVisitorCenterIn
Indicates that an entity operates or possesses a visitor center located within a specified place.
-
D.
hasPublicVisitorsCenter
Indicates that an entity operates or provides access to a visitors center that is open to the general public.
-
E.
visitorCenterStaffedBy
Indicates that a visitor center has specific staff members assigned to work there.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 1, 2026, 2:01 a.m.