Triple
T4711466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wem |
E104520
|
entity |
| Predicate | hasLocalFeature |
P182
|
FINISHED |
| Object |
Wem Town Hall
Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
|
E463303
|
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: Wem Town Hall | Statement: [Wem, hasLocalFeature, Wem Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wem Town Hall Context triple: [Wem, hasLocalFeature, Wem Town Hall]
-
A.
The Town Hall
The Town Hall is a historic performance venue in Midtown Manhattan, New York City, renowned for its concerts, lectures, and cultural events.
-
B.
Union Hall
Union Hall is a historic building in Alba Iulia, Romania, renowned as the site where the union of Transylvania with Romania was proclaimed in 1918.
-
C.
Street Hall
Street Hall is a historic Yale University building that houses part of the Yale University Art Gallery’s collections and exhibition spaces.
-
D.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
-
E.
Reading Town Hall
Reading Town Hall is a prominent Victorian civic building in Reading, England, designed by architect Alfred Waterhouse and noted for its distinctive Gothic Revival style.
- 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: Wem Town Hall Triple: [Wem, hasLocalFeature, Wem Town Hall]
Generated description
Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wem Town Hall Target entity description: Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
-
A.
The Town Hall
The Town Hall is a historic performance venue in Midtown Manhattan, New York City, renowned for its concerts, lectures, and cultural events.
-
B.
Union Hall
Union Hall is a historic building in Alba Iulia, Romania, renowned as the site where the union of Transylvania with Romania was proclaimed in 1918.
-
C.
Street Hall
Street Hall is a historic Yale University building that houses part of the Yale University Art Gallery’s collections and exhibition spaces.
-
D.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
-
E.
Reading Town Hall
Reading Town Hall is a prominent Victorian civic building in Reading, England, designed by architect Alfred Waterhouse and noted for its distinctive Gothic Revival style.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64049d6c8190be19935048fc6b14 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be107c3ca48190b93d3f66cc15449e |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1196fcb08190a151b31204045fa4 |
completed | March 21, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be121448ec8190a29f6d78049002df |
completed | March 21, 2026, 3:35 a.m. |
Created at: March 20, 2026, 1:17 p.m.