Triple
T1450510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tikal |
E31278
|
entity |
| Predicate | TempleIVHeight |
P28742
|
FINISHED |
| Object | approximately 70 meters |
—
|
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: approximately 70 meters | Statement: [Tikal, TempleIVHeight, approximately 70 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TempleIVHeight Context triple: [Tikal, TempleIVHeight, approximately 70 meters]
-
A.
formerSpireHeight
Indicates the height that a spire used to have before being altered, removed, or replaced.
-
B.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
C.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
atriumHeight
Indicates the vertical measurement of an atrium from its floor to its ceiling or highest point.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55d923c8190957756f834f94462 |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.