Triple
T22765490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiparowits Formation |
E563111
|
entity |
| Predicate | notableSiteFor |
P149636
|
FINISHED |
| Object | Late Cretaceous terrestrial ecosystems |
—
|
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 Cretaceous terrestrial ecosystems | Statement: [Kaiparowits Formation, notableSiteFor, Late Cretaceous terrestrial ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSiteFor Context triple: [Kaiparowits Formation, notableSiteFor, Late Cretaceous terrestrial ecosystems]
-
A.
notableSite
Indicates that a site holds particular significance, prominence, or recognition in some context.
-
B.
notableSiteListedOn
Indicates that a notable site is recorded or referenced within a particular list, registry, or catalog.
-
C.
notableSiteType
Indicates that a site is notable specifically for being of a particular type or category (e.g., a notable example of that kind of site).
-
D.
notableSiteAssociatedWith
Indicates that there is a significant or noteworthy site or location that is associated with, related to, or prominently linked to the given entity.
-
E.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:26 p.m.