Triple
T9445320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpenden |
E227748
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Roundwood
Roundwood is a residential area or neighborhood within the town of Harpenden in Hertfordshire, England.
|
E799212
|
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: Roundwood | Statement: [Harpenden, hasPart, Roundwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roundwood Context triple: [Harpenden, hasPart, Roundwood]
-
A.
Norsey Wood
Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
-
B.
Oaken
Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
-
C.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
D.
Seafar Wood
Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
-
E.
Lenswood
Lenswood is a small rural town in South Australia's Adelaide Hills region, known for its cool-climate orchards and scenic vineyards.
- 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: Roundwood Triple: [Harpenden, hasPart, Roundwood]
Generated description
Roundwood is a residential area or neighborhood within the town of Harpenden in Hertfordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roundwood Target entity description: Roundwood is a residential area or neighborhood within the town of Harpenden in Hertfordshire, England.
-
A.
Norsey Wood
Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
-
B.
Oaken
Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
-
C.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
D.
Seafar Wood
Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
-
E.
Lenswood
Lenswood is a small rural town in South Australia's Adelaide Hills region, known for its cool-climate orchards and scenic vineyards.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f33deb88190bc74968575963ac4 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110669ca48190bbaf772e2e6aa457 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d110eeddc881908661d110269b8a1c |
completed | April 4, 2026, 1:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111f3190c8190ba2fe5687212da25 |
completed | April 4, 2026, 1:28 p.m. |
Created at: March 30, 2026, 7:51 p.m.