Triple
T12388983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pic du Midi Observatory |
E295942
|
entity |
| Predicate | firstScientificUse |
P104701
|
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 Observatory, firstScientificUse, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstScientificUse Context triple: [Pic du Midi Observatory, firstScientificUse, late 19th century]
-
A.
firstHistoricalUse
Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
-
B.
firstOfficialUse
Indicates the earliest point in time when something was formally or officially put into use.
-
C.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
D.
firstOperationalUse
Indicates the point in time or context when something is used operationally for the very first time.
-
E.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.