Triple
T83475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Metrolink |
E1678
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Eccles
Eccles is a town in Greater Manchester, England, known for its historic market and the traditional Eccles cake.
|
E5767
|
NE FINISHED |
How this triple was built (4 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: Eccles | Statement: [Manchester Metrolink, serves, Eccles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eccles Context triple: [Manchester Metrolink, serves, Eccles]
-
A.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
B.
Rosslyn
Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
-
C.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
D.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
E.
Trinity
The Trinity is the central Christian doctrine that God exists as one divine being in three distinct, co-equal persons: the Father, the Son, and the Holy Spirit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eccles Triple: [Manchester Metrolink, serves, Eccles]
Generated description
Eccles is a town in Greater Manchester, England, known for its historic market and the traditional Eccles cake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eccles Target entity description: Eccles is a town in Greater Manchester, England, known for its historic market and the traditional Eccles cake.
-
A.
House of Bishops
The House of Bishops is one of the two legislative bodies of the Episcopal Church’s General Convention, composed of all its bishops who deliberate and vote on church policy and governance.
-
B.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
C.
Rosslyn
Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
-
D.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
- F. None of above. chosen
Provenance (5 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4ccb5081908decac81f4af01bf |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2555394f881909f01ec05c75ff63d |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a256c4dc84819098c62b776c9ec80d |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25781a51c8190b9a2ecbd2ef4ecae |
completed | Feb. 28, 2026, 2:48 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.