Triple
T10018276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallsend |
E199550
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Holy Cross
Holy Cross is a residential neighbourhood within the town of Wallsend in North Tyneside, England.
|
E834912
|
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: Holy Cross | Statement: [Wallsend, hasNeighbourhood, Holy Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Cross Context triple: [Wallsend, hasNeighbourhood, Holy Cross]
-
A.
Holy Cross
Holy Cross is the historic parish in Shrewsbury, England, associated with the medieval Shrewsbury Abbey.
-
B.
Holy Cross
Holy Cross is a Christian term referring to the cross on which Jesus Christ was crucified, venerated as a central symbol of sacrifice and redemption in Christianity.
-
C.
Holy Cross
Holy Cross is a private Jesuit liberal arts college in Worcester, Massachusetts, known formally as the College of the Holy Cross.
-
D.
Holy Cross College
Holy Cross College is a small Catholic liberal arts college located near the University of Notre Dame in northern Indiana.
-
E.
Chapel of the Holy Cross
The Chapel of the Holy Cross is a modernist Roman Catholic chapel dramatically built into the red rock buttes of Sedona, Arizona, and renowned for its striking architecture and panoramic desert views.
- 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: Holy Cross Triple: [Wallsend, hasNeighbourhood, Holy Cross]
Generated description
Holy Cross is a residential neighbourhood within the town of Wallsend in North Tyneside, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holy Cross Target entity description: Holy Cross is a residential neighbourhood within the town of Wallsend in North Tyneside, England.
-
A.
Holy Cross
Holy Cross is the historic parish in Shrewsbury, England, associated with the medieval Shrewsbury Abbey.
-
B.
Holy Cross
Holy Cross is a Christian term referring to the cross on which Jesus Christ was crucified, venerated as a central symbol of sacrifice and redemption in Christianity.
-
C.
Holy Cross
Holy Cross is a private Jesuit liberal arts college in Worcester, Massachusetts, known formally as the College of the Holy Cross.
-
D.
Holy Cross College
Holy Cross College is a small Catholic liberal arts college located near the University of Notre Dame in northern Indiana.
-
E.
Chapel of the Holy Cross
The Chapel of the Holy Cross is a modernist Roman Catholic chapel dramatically built into the red rock buttes of Sedona, Arizona, and renowned for its striking architecture and panoramic desert views.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4de1588190a89ed575cff0b8c9 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26aa319508190b85b5a5f78603b6a |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b6dfac081908e85d2b1585217b4 |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c47d25081908818f18f6b0881b2 |
completed | April 5, 2026, 2:06 p.m. |
Created at: March 30, 2026, 8:53 p.m.