Triple
T30068471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman theater |
E764105
|
entity |
| Predicate | timeOfPeakConstruction |
P174694
|
FINISHED |
| Object | late Republic |
—
|
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: late Republic | Statement: [Roman theater, timeOfPeakConstruction, late Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfPeakConstruction Context triple: [Roman theater, timeOfPeakConstruction, late Republic]
-
A.
constructionPeakPeriod
chosen
Indicates the time interval during which construction activity reaches its highest intensity or volume.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
timeOfPeakSize
Indicates the specific time at which something reaches its maximum size or extent.
-
D.
constructionTime
Indicates the duration or specific point in time required to construct or build an entity.
-
E.
operationalPeak
Indicates the highest level or period of performance, capacity, or activity that a system, process, or entity reaches during its operation.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 7 p.m.