Triple
T17421658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Morro National Monument |
E423630
|
entity |
| Predicate | inscriptionsDateBackTo |
P33352
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [El Morro National Monument, inscriptionsDateBackTo, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionsDateBackTo Context triple: [El Morro National Monument, inscriptionsDateBackTo, 13th century]
-
A.
inscriptionDating
chosen
Indicates the temporal period or specific date to which an inscription is assigned or attributed.
-
B.
ideaDateBackTo
Indicates that the origin or earliest known occurrence of an idea can be traced back to a specified time or period.
-
C.
inscriptionDate
Indicates the date on which an inscription was created, carved, or formally recorded.
-
D.
inscribedOn
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
-
E.
relicsTranslationDate
Indicates the date on which the relics were translated or moved from one location to another.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44237f2cc819083ca0e7e00d828fb |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.