Triple
T26297673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Two-Headed Serpent |
E661461
|
entity |
| Predicate | isTallestStructureOf |
P57478
|
FINISHED |
| Object | Tikal |
—
|
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: Tikal | Statement: [Temple of the Two-Headed Serpent, isTallestStructureOf, Tikal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTallestStructureOf Context triple: [Temple of the Two-Headed Serpent, isTallestStructureOf, Tikal]
-
A.
isTallestStructureIn
chosen
Indicates that the subject is the tallest structure located within the specified place or area.
-
B.
isTallestTowerIn
Indicates that one tower is the tallest tower within a specified location or set of towers.
-
C.
oneOfTallestStructuresIn
Indicates that an entity is among the tallest structures located within a specified place or region.
-
D.
wasTallestStructureIn
Indicates that one structure held the status of being the tallest within a specified place or during a specified time period.
-
E.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
- F. None of above.
Provenance (3 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_69f60eafb8a0819090f8db1feca43f64 |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:13 p.m.