Triple
T7604222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Point State Park |
E180058
|
entity |
| Predicate | monumentConstructionStart |
P77727
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [High Point State Park, monumentConstructionStart, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentConstructionStart Context triple: [High Point State Park, monumentConstructionStart, 1928]
-
A.
buildingConstructionStart
Indicates the point in time when the construction work on a building begins.
-
B.
cathedralConstructionStarted
Indicates that the process of constructing a cathedral has begun.
-
C.
builtMonument
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
-
D.
observatoryConstructionStart
Indicates the date or event marking when construction of an observatory begins.
-
E.
eraOfMajorConstruction
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fbd1408190b721bf016f997c7b |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.