Triple
T7946618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiong clan |
E184513
|
entity |
| Predicate | scriptUsedInInscriptions |
P22774
|
FINISHED |
| Object | Chu script |
—
|
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: Chu script | Statement: [Xiong clan, scriptUsedInInscriptions, Chu script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInInscriptions Context triple: [Xiong clan, scriptUsedInInscriptions, Chu script]
-
A.
scriptOfInscription
chosen
Indicates the writing system or script in which a given inscription is written.
-
B.
mentionedInInscription
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.
pyramidTextInscriptions
Indicates that the subject has text inscriptions located on or within a pyramid.
-
E.
mainContentOfInscriptions
Indicates that something represents the primary textual or symbolic content conveyed by a set of inscriptions.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.