Triple
T23883830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epi-Olmec script |
E600277
|
entity |
| Predicate | knownFromInscription |
P51076
|
FINISHED |
| Object | La Mojarra Stela 1 |
—
|
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: La Mojarra Stela 1 | Statement: [Epi-Olmec script, knownFromInscription, La Mojarra Stela 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownFromInscription Context triple: [Epi-Olmec script, knownFromInscription, La Mojarra Stela 1]
-
A.
notableInscriptionBy
Indicates that an inscription of particular note or significance on an entity was created, authored, or carved by a specified agent.
-
B.
mentionedInInscription
chosen
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
C.
inscriptionsFoundAt
Indicates that inscriptions are discovered or located at a particular place or site.
-
D.
hasNumberOfNamesInscribed
Indicates the quantity of distinct names that are inscribed on a given entity.
-
E.
oftenDepictedWithInscription
Indicates that the subject is frequently shown or represented together with a written inscription.
- 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_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. |
Created at: April 17, 2026, 8:24 p.m.