Triple
T30880607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Adams (New York) |
E786599
|
entity |
| Predicate | fireTowerBuiltIn |
P170814
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [Mount Adams (New York), fireTowerBuiltIn, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireTowerBuiltIn Context triple: [Mount Adams (New York), fireTowerBuiltIn, 1917]
-
A.
fireTowerType
Indicates the specific classification or category of a fire tower in relation to that tower.
-
B.
fireTowerUse
Indicates the use or operation of a fire tower by an entity, such as for observation, monitoring, or related activities.
-
C.
fireTowerMaterial
Indicates the material from which a fire tower is constructed or primarily made.
-
D.
fireShape
Indicates that one entity has the specified geometric or visual form of a fire or flame.
-
E.
fireType
Indicates that one entity has a specific classification or category related to fire (e.g., type, kind, or nature of fire).
- F. None of above. chosen
Provenance (4 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:48 p.m.