Triple
T6958309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Inscriptions |
E161302
|
entity |
| Predicate | inscriptionsTimespan |
P33352
|
FINISHED |
| Object | record spans several centuries of Palenque history |
—
|
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: record spans several centuries of Palenque history | Statement: [Temple of the Inscriptions, inscriptionsTimespan, record spans several centuries of Palenque history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionsTimespan Context triple: [Temple of the Inscriptions, inscriptionsTimespan, record spans several centuries of Palenque history]
-
A.
hasInscriptionFromReignOf
Indicates that an object bears an inscription created during the reign of a specified ruler or authority.
-
B.
inscriptionsFoundAt
Indicates that inscriptions are discovered or located at a particular place or site.
-
C.
inscriptionDating
chosen
Indicates the temporal period or specific date to which an inscription is assigned or attributed.
-
D.
pyramidTextInscriptions
Indicates that the subject has text inscriptions located on or within a pyramid.
-
E.
eraOfOriginalMonuments
Indicates the historical time period during which the original monuments were created or first established.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad240ac8190808014a5b4920b41 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.