Triple
T20175256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibshelf |
E492073
|
entity |
| Predicate | hasAmenity |
P105
|
FINISHED |
| Object | Tibshelf Services |
—
|
NE NERFINISHED |
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: Tibshelf Services | Statement: [Tibshelf, hasAmenity, Tibshelf Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibshelf Services Context triple: [Tibshelf, hasAmenity, Tibshelf Services]
-
A.
Tibshelf services
chosen
Tibshelf services is a motorway service area in Derbyshire, England, providing fuel, food, and rest facilities to drivers traveling on the M1.
-
B.
Tibshelf
Tibshelf is a former coal-mining village and civil parish in Derbyshire, England, known as one of the early sites of deep coal mining in the country.
-
C.
TIBX
TIBX was the NASDAQ stock ticker symbol used for shares of TIBCO Software Inc., a company known for its enterprise data integration and analytics software.
-
D.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
E.
Tibb
Tibb is a medieval English given name, often a diminutive of names like Theobald or Tibalt, that later appeared as a root for surnames such as Tibbets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668eaa3b88190bef4f2db0125fdfc |
completed | April 20, 2026, 5:56 p.m. |
Created at: April 11, 2026, 11:36 p.m.