Triple
T10534527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Structure II |
E248528
|
entity |
| Predicate | relativeSizeWithinSite |
P94423
|
FINISHED |
| Object | one of the largest structures at Calakmul |
—
|
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: one of the largest structures at Calakmul | Statement: [Structure II, relativeSizeWithinSite, one of the largest structures at Calakmul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeWithinSite Context triple: [Structure II, relativeSizeWithinSite, one of the largest structures at Calakmul]
-
A.
relativeSizeOnTethys
Indicates how the size of one entity compares to another specifically in the context of Tethys.
-
B.
relativeSizeInArchipelago
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
-
C.
relativeSizeInFleet
Indicates the comparative size or capacity of an entity relative to other entities within the same fleet.
-
D.
relativeSizeWithinUniversity
Indicates how the size of one entity compares to another within the context or boundaries of a specific university.
-
E.
numberWithinSite
Indicates that an entity has a specific identifying number or position assigned within the context of a particular site or location.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a1a754c8190b53f2df28a1dfef1 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:31 p.m.