Triple
T1908740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertfordshire |
E38060
|
entity |
| Predicate | administrativeHeadquarters |
P62
|
FINISHED |
| Object | Hertford |
E39666
|
NE FINISHED |
How this triple was built (2 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: Hertford | Statement: [Hertfordshire, administrativeHeadquarters, Hertford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hertford Context triple: [Hertfordshire, administrativeHeadquarters, Hertford]
-
A.
Hertford
chosen
Hertford is a historic market town and the county town of Hertfordshire in southern England.
-
B.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
C.
Aylesbury
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
-
D.
Sawbridgeworth
Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
-
E.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b55edc8190bce8ac97196939a9 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8645ae0819098d74988de56a7b4 |
completed | March 10, 2026, 9:46 a.m. |
Created at: March 4, 2026, 7:35 p.m.