Triple
T34229359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Augustus in Barcino |
E878146
|
entity |
| Predicate | numberOfSurvivingColumns |
P205375
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Temple of Augustus in Barcino, numberOfSurvivingColumns, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurvivingColumns Context triple: [Temple of Augustus in Barcino, numberOfSurvivingColumns, 4]
-
A.
numberOfSurvivingSpecimens
Indicates the count of individual specimens that remain alive or intact after a particular event, period, or condition.
-
B.
survivingColumnsHeight
Indicates the height measurement of columns that remain standing or intact after a given event or process.
-
C.
estimatedNumberOfSurvivors
Indicates the approximate count of individuals expected to remain alive after a specific event or situation.
-
D.
numberOfSurvivingPlays
Indicates the count of plays by an author or in a collection that are still extant rather than lost.
-
E.
survivesBy
Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:56 a.m.