Triple
T2741190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pic du Midi de Bigorre |
E60752
|
entity |
| Predicate | observatoryOpened |
P41299
|
FINISHED |
| Object | late 19th 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: late 19th century | Statement: [Pic du Midi de Bigorre, observatoryOpened, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observatoryOpened Context triple: [Pic du Midi de Bigorre, observatoryOpened, late 19th century]
-
A.
observatory
Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
-
B.
observatoryOperator
Indicates that one entity operates, manages, or runs an observatory facility for another entity or in an official capacity.
-
C.
observatoryCount
Indicates the number of observatories associated with or present in relation to a given entity.
-
D.
observatoryComplex
Indicates a relationship where multiple observatory-related facilities or structures are grouped together as parts of a single, integrated observatory complex.
-
E.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:56 p.m.