Triple
T8909432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deal Town Council |
E212142
|
entity |
| Predicate | hasMeetingPlace |
P3175
|
FINISHED |
| Object |
Deal Town Hall
Deal Town Hall is the principal civic building in Deal, Kent, serving as the venue for local government functions, public meetings, and community events.
|
E766604
|
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: Deal Town Hall | Statement: [Deal Town Council, hasMeetingPlace, Deal Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deal Town Hall Context triple: [Deal Town Council, hasMeetingPlace, Deal Town Hall]
-
A.
Deal Town Council
Deal Town Council is the local parish-level authority responsible for representing residents and managing community services and amenities in the coastal town of Deal, Kent, England.
-
B.
Wem Town Hall
Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
-
C.
Toy Town
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
D.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
E.
Log Town
Log Town is the historical name for what is now Gaithersburg, a city in Montgomery County, Maryland.
- 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: Deal Town Hall Triple: [Deal Town Council, hasMeetingPlace, Deal Town Hall]
Generated description
Deal Town Hall is the principal civic building in Deal, Kent, serving as the venue for local government functions, public meetings, and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deal Town Hall Target entity description: Deal Town Hall is the principal civic building in Deal, Kent, serving as the venue for local government functions, public meetings, and community events.
-
A.
Deal Town Council
Deal Town Council is the local parish-level authority responsible for representing residents and managing community services and amenities in the coastal town of Deal, Kent, England.
-
B.
Wem Town Hall
Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
-
C.
Toy Town
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
D.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
E.
Log Town
Log Town is the historical name for what is now Gaithersburg, a city in Montgomery County, Maryland.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65207bbc8190be181555b9564797 |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba36f8cc8190ab57ddc99b7219d1 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbade9330819096d4b0eeacdad6da |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbec2b8888190a0390168fdcef05f |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:55 p.m.