Triple
T2449663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenú |
E53672
|
entity |
| Predicate | timeOfFirstContact |
P27235
|
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: [Zenú, timeOfFirstContact, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFirstContact Context triple: [Zenú, timeOfFirstContact, 16th century]
-
A.
firstReachedDate
chosen
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
B.
timeOfFirstRevelation
Indicates the specific time at which the first revelation or initial disclosure of something occurred.
-
C.
firstSuccessfulImpactBy
Indicates that one entity is the earliest or initial successful impactor upon another entity in a given context or sequence of events.
-
D.
firstHeldAt
Indicates the initial time or event at which an entity was first held, possessed, or hosted.
-
E.
firstOpenedAt
Indicates the date and time at which something was initially opened for the first time.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.