Triple
T21947334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merkur Mountain |
E541966
|
entity |
| Predicate | hasCommunicationUse |
P146649
|
FINISHED |
| Object | site for transmission installations |
—
|
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: site for transmission installations | Statement: [Merkur Mountain, hasCommunicationUse, site for transmission installations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunicationUse Context triple: [Merkur Mountain, hasCommunicationUse, site for transmission installations]
-
A.
usedToCommunicate
Indicates that one entity serves as a medium or tool through which another entity conveys information, messages, or signals.
-
B.
hasCommunicationType
Indicates that one entity uses, supports, or is associated with a particular form or mode of communication.
-
C.
usesTelecommunications
Indicates that one entity communicates with or transmits information to another by means of telecommunications technologies or networks.
-
D.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
-
E.
hasCommunicationLimitation
Indicates that an entity is subject to some restriction, constraint, or reduced capacity in its ability to communicate.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12428dee48190acb63051ed7cd03e |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:57 p.m.