Triple
T6387279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester |
E143731
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object |
Caer
Caer is an old Welsh-derived name historically used for the city now known as Chester in northwest England.
|
E591480
|
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: Caer | Statement: [Chester, hasHistoricalName, Caer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caer Context triple: [Chester, hasHistoricalName, Caer]
-
A.
Caere
Caere was a major ancient Etruscan city-state in central Italy, noted for its wealth, maritime trade, and close cultural contacts with the Greek and Phoenician worlds.
-
B.
Crynant
Crynant is a small village and community in the Dulais Valley of Neath Port Talbot, South Wales, historically associated with coal mining.
-
C.
Caegarw
Caegarw is a residential area within the town of Mountain Ash in Rhondda Cynon Taf, Wales.
-
D.
Cargeghe
Cargeghe is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Gryneion
Gryneion was an ancient Greek coastal city of Aeolis in western Asia Minor, known from classical sources as a minor but historically attested settlement.
- 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: Caer Triple: [Chester, hasHistoricalName, Caer]
Generated description
Caer is an old Welsh-derived name historically used for the city now known as Chester in northwest England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caer Target entity description: Caer is an old Welsh-derived name historically used for the city now known as Chester in northwest England.
-
A.
Caere
Caere was a major ancient Etruscan city-state in central Italy, noted for its wealth, maritime trade, and close cultural contacts with the Greek and Phoenician worlds.
-
B.
Crynant
Crynant is a small village and community in the Dulais Valley of Neath Port Talbot, South Wales, historically associated with coal mining.
-
C.
Caegarw
Caegarw is a residential area within the town of Mountain Ash in Rhondda Cynon Taf, Wales.
-
D.
Cargeghe
Cargeghe is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Gryneion
Gryneion was an ancient Greek coastal city of Aeolis in western Asia Minor, known from classical sources as a minor but historically attested settlement.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06869dfb88190aeb84c6c61414888 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6387dc8888190ba63efcc9aff41b2 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63b0165ac8190bb6001504d4abfcc |
completed | March 27, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b6373e88190b676ee85be8c06fb |
completed | March 27, 2026, 8:10 a.m. |
Created at: March 22, 2026, 4:34 p.m.