Triple
T36315138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monasterboice |
E894168
|
entity |
| Predicate | roundTowerHeightApprox |
P18664
|
FINISHED |
| Object | 28 metres |
—
|
LITERAL 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: 28 metres | Statement: [Monasterboice, roundTowerHeightApprox, 28 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundTowerHeightApprox Context triple: [Monasterboice, roundTowerHeightApprox, 28 metres]
-
A.
roundTowerStoreys
Indicates that one entity is a specific number of storeys associated with, or contained in, a round tower.
-
B.
heightOfBellTower_m
Indicates the measured height of a bell tower expressed in meters.
-
C.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
-
D.
hasTowerHeight
chosen
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
E.
approximateHeightOfTallestStructure
Indicates the estimated height value associated with the tallest structure in a given context or set.
- F. None of above.
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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.