Triple
T1497085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niles, Illinois |
E29710
|
entity |
| Predicate | hasLeaningTowerReplicaHeightInFeet |
P18664
|
FINISHED |
| Object | 94 |
—
|
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: 94 | Statement: [Niles, Illinois, hasLeaningTowerReplicaHeightInFeet, 94]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeaningTowerReplicaHeightInFeet Context triple: [Niles, Illinois, hasLeaningTowerReplicaHeightInFeet, 94]
-
A.
hasTowerHeight
chosen
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
B.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
towerInclination
Indicates the degree and direction to which a tower deviates or leans away from a perfectly vertical alignment.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6edca248190a90205799b270058 |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.