Triple
T7468662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Asad ibn Khuzayma |
E176445
|
entity |
| Predicate | preIslamicEconomy |
P10778
|
FINISHED |
| Object | pastoralism |
—
|
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: pastoralism | Statement: [Banu Asad ibn Khuzayma, preIslamicEconomy, pastoralism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preIslamicEconomy Context triple: [Banu Asad ibn Khuzayma, preIslamicEconomy, pastoralism]
-
A.
preIslamicPresence
Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
-
B.
preIslamicOccupation
Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
-
C.
preIslamicReligion
Indicates that an entity practiced, adhered to, or was associated with a religious belief system that existed before the advent or spread of Islam.
-
D.
preIslamicFigure
Indicates that the subject is a notable person or character who lived or is traditionally placed in the period before the advent of Islam.
-
E.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f6f23881908e3e80b0c7335a15 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:40 p.m.