Triple
T26301935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapa Topográfico Nacional de España |
E661580
|
entity |
| Predicate | previousDatum |
P181108
|
FINISHED |
| Object | European Datum 1950 |
—
|
NE NERFINISHED |
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: European Datum 1950 | Statement: [Mapa Topográfico Nacional de España, previousDatum, European Datum 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousDatum Context triple: [Mapa Topográfico Nacional de España, previousDatum, European Datum 1950]
-
A.
previousRecord
Indicates that one record directly precedes another in an ordered sequence of records.
-
B.
previousPeriod
Indicates that one time period directly precedes another in a sequence of periods.
-
C.
previousHead
Indicates that one entity formerly held the position of head or leader of another entity before being succeeded.
-
D.
previousPost
Indicates that one post directly precedes another in a sequence or ordered list of posts.
-
E.
previousIndication
Indicates that one indication or sign occurred earlier in time than another, serving as a prior instance or precursor in a sequence of indications.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
| PDg | Predicate description generation | batch_69f762651e088190baa21f25378a6065 |
completed | May 3, 2026, 2:57 p.m. |
Created at: April 26, 2026, 10:16 p.m.