Triple
T29125057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis Yi of Zeng |
E738199
|
entity |
| Predicate | inscriptionsIndicate |
P156954
|
FINISHED |
| Object | political ties between Zeng and Chu |
—
|
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: political ties between Zeng and Chu | Statement: [Marquis Yi of Zeng, inscriptionsIndicate, political ties between Zeng and Chu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionsIndicate Context triple: [Marquis Yi of Zeng, inscriptionsIndicate, political ties between Zeng and Chu]
-
A.
inscriptionsFoundAt
Indicates that inscriptions are discovered or located at a particular place or site.
-
B.
notableInscriptionBy
Indicates that an inscription of particular note or significance on an entity was created, authored, or carved by a specified agent.
-
C.
attestedInInscriptions
chosen
Indicates that evidence for the entity is documented or recorded in one or more inscriptions.
-
D.
oftenDepictedWithInscription
Indicates that the subject is frequently shown or represented together with a written inscription.
-
E.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622916088190a3cd63ade671d3ad |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:27 a.m.