Triple
T9989990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moabite language |
E196860
|
entity |
| Predicate | timeOfMeshaStele |
P68750
|
FINISHED |
| Object | 9th century BCE |
—
|
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: 9th century BCE | Statement: [Moabite language, timeOfMeshaStele, 9th century BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMeshaStele Context triple: [Moabite language, timeOfMeshaStele, 9th century BCE]
-
A.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
B.
AshuraStatuePeriod
Indicates the historical or cultural period during which an Ashura statue was created or is associated.
-
C.
eraOfOriginalMonuments
chosen
Indicates the historical time period during which the original monuments were created or first established.
-
D.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
-
E.
lastKnownHieroglyphicInscriptionYear
Indicates the year in which the final or most recent known hieroglyphic inscription associated with an entity was created or recorded.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79f3df08190ab3094ad1cd5490f |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.