Triple
T3855411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archaeological Site of Panamá Viejo |
E90000
|
entity |
| Predicate | majorDestructionYear |
P11807
|
FINISHED |
| Object | 1671 |
—
|
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: 1671 | Statement: [Archaeological Site of Panamá Viejo, majorDestructionYear, 1671]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorDestructionYear Context triple: [Archaeological Site of Panamá Viejo, majorDestructionYear, 1671]
-
A.
demolitionYearApprox
Indicates that an entity was demolished in or around a particular year, where the year is an approximate rather than an exact value.
-
B.
destructionYear
chosen
Indicates the year in which an entity was destroyed or ceased to exist due to destructive events or actions.
-
C.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
D.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
-
E.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.