Triple
T10705689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acapulco de Juárez |
E252396
|
entity |
| Predicate | foundedAsPort |
P95378
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Acapulco de Juárez, foundedAsPort, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsPort Context triple: [Acapulco de Juárez, foundedAsPort, 16th century]
-
A.
foundedAsPortToReplace
Indicates that one settlement or port city was established specifically to serve as a replacement for another port.
-
B.
wasFirstMajorSeaportOf
Indicates that one place served as the earliest significant seaport for another place or region.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
isHistoricPortOf
Indicates that a location served as a significant port for another place during a past historical period.
-
E.
foundedAsCityBy
Indicates that a city was originally established or created by a specific person, group, or authority.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddeb060819094cd125a68070eb2 |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8ea6408190a800f9cb57372189 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:12 p.m.