Triple
T1312452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North East England |
E28023
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Darlington
Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
|
E149816
|
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: Darlington | Statement: [North East England, hasCity, Darlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darlington Context triple: [North East England, hasCity, Darlington]
-
A.
Darlington
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
-
B.
Rock Hill
Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
-
C.
Durham
Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
-
D.
Rockingham
Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
-
E.
Lancaster
The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
- 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: Darlington Triple: [North East England, hasCity, Darlington]
Generated description
Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darlington Target entity description: Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
-
A.
Darlington
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
-
B.
Rock Hill
Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
-
C.
Durham
Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
-
D.
Rockingham
Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
-
E.
Lancaster
The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaeeece08190a805a2f037e709ce |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb74a0e48190b2018b16363afea1 |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbcd8c1c8190b58680d7a1ecd982 |
completed | March 7, 2026, 11:59 p.m. |
Created at: March 1, 2026, 7:55 p.m.