Triple
T26875716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill of Serpents |
E676741
|
entity |
| Predicate | meaningOfNahuatlName |
P1966
|
FINISHED |
| Object | Hill of Serpents |
—
|
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: Hill of Serpents | Statement: [Hill of Serpents, meaningOfNahuatlName, Hill of Serpents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfNahuatlName Context triple: [Hill of Serpents, meaningOfNahuatlName, Hill of Serpents]
-
A.
meaningInNahuatl
Indicates that one entity expresses the meaning or translation of another entity specifically in the Nahuatl language.
-
B.
hasNameInNahuatl
Indicates that an entity is known by or assigned a specific name expressed in the Nahuatl language.
-
C.
hasNameInClassicalNahuatl
Indicates that an entity is known by a specific name expressed in the Classical Nahuatl language.
-
D.
meaningOfNativeName
chosen
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
-
E.
equivalentEpithetInNahuatl
Indicates that one entity’s epithet has an equivalent or corresponding epithet expressed in the Nahuatl language.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 5:35 a.m.