Triple
T25679696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naranjo |
E643903
|
entity |
| Predicate | hasEarliestMonumentDate |
P138480
|
FINISHED |
| Object | Late Early Classic period |
—
|
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 Early Classic period | Statement: [Naranjo, hasEarliestMonumentDate, Late Early Classic period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestMonumentDate Context triple: [Naranjo, hasEarliestMonumentDate, Late Early Classic period]
-
A.
earliestLongCountDateOnMonument
Indicates the earliest recorded Long Count calendar date that appears on a given monument.
-
B.
hasMonumentInPeriod
chosen
Indicates that a monument is associated with or existed during a specified time period.
-
C.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
-
D.
oldestBuildingDate
Indicates the calendar date on which the earliest or first-constructed building in a given set or area was built or completed.
-
E.
earliestFindsDateTo
Indicates the earliest known date at which the finding, discovery, or observation of one entity is recorded as relating to another entity.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb77c3a08190b63e811dd21989fd |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7:45 p.m.