Triple
T4669352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hantescire |
E102923
|
entity |
| Predicate | meaningOfElement_-scire |
P58748
|
FINISHED |
| Object | shire |
—
|
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: shire | Statement: [Hantescire, meaningOfElement_-scire, shire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfElement_-scire Context triple: [Hantescire, meaningOfElement_-scire, shire]
-
A.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
B.
SCIType
Indicates a classification relationship where an entity is assigned a specific type or category within a scientific or structured information context.
-
C.
secondScience
Indicates that the subject is the second entity in a sequence or ranking specifically within a scientific context or domain.
-
D.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
-
E.
isScienceCity
Indicates that a city is recognized or designated as a center for scientific research, education, or technological innovation.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd655719dc8190beb6942f343a0ae7 |
completed | March 20, 2026, 3:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.