Triple
T6113024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine American Cemetery |
E136290
|
entity |
| Predicate | hasInformationCenter |
P67494
|
FINISHED |
| Object | visitor center |
—
|
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: visitor center | Statement: [Lorraine American Cemetery, hasInformationCenter, visitor center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInformationCenter Context triple: [Lorraine American Cemetery, hasInformationCenter, visitor center]
-
A.
hasInformationCenterFor
chosen
Indicates that one entity serves as an information center dedicated to providing information or services related to another entity.
-
B.
hasInformationService
Indicates that one entity provides, operates, or is associated with an information-related service for another entity.
-
C.
hasPressCenter
Indicates that an entity maintains or is associated with a dedicated press or media center for communications and information dissemination.
-
D.
hasServiceCenter
Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
-
E.
hasRAndDCenterIn
Indicates that an entity maintains a research and development (R&D) center located in a specified place.
- F. None of above.
Provenance (3 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbf2ee4819097af2cce9248bf4e |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.