Triple
T4255258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawley |
E95957
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
|
E438600
|
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: Langley Green | Statement: [Crawley, hasNeighbourhood, Langley Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Green Context triple: [Crawley, hasNeighbourhood, Langley Green]
-
A.
Butler Green
Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Hurst Green
Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
-
D.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
E.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
- 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: Langley Green Triple: [Crawley, hasNeighbourhood, Langley Green]
Generated description
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langley Green Target entity description: Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
A.
Butler Green
Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Hurst Green
Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
-
D.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
E.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5b3f5b88190bda71f9f053e67d7 |
completed | March 14, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_69b5f65e9bec819082c33b0c066cd42b |
completed | March 14, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5fa90f6a48190a27dfeb65f705225 |
completed | March 15, 2026, 12:17 a.m. |
Created at: March 12, 2026, 11:06 p.m.