Triple
T23884444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Count |
E600289
|
entity |
| Predicate | definesKʼatun |
P153940
|
FINISHED |
| Object | 20 tun (7,200 days) |
—
|
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: 20 tun (7,200 days) | Statement: [Long Count, definesKʼatun, 20 tun (7,200 days)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesKʼatun Context triple: [Long Count, definesKʼatun, 20 tun (7,200 days)]
-
A.
definesK2As
Indicates that one entity specifies or establishes the meaning, value, or identity of a second entity referred to as K2.
-
B.
currentKatikkiro
Indicates that the subject currently holds the position or role of Katikkiro (prime minister or chief minister) of a given polity.
-
C.
definesK4As
Indicates that one entity specifies or establishes the meaning, identity, or role of another entity as K4.
-
D.
kāṇḍa
Indicates a part–whole relationship where something is a section, chapter, or subdivision of a larger structured whole.
-
E.
kunya
Indicates the honorific or respectful name by which a person is addressed or referred to, typically reflecting esteem, modesty, or social standing.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ccfbbe4c819093e590709719ab72 |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:24 p.m.