Triple
T31013310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Bab |
E790261
|
entity |
| Predicate | preWarEconomy |
P33336
|
FINISHED |
| Object | agriculture and trade |
—
|
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: agriculture and trade | Statement: [al-Bab, preWarEconomy, agriculture and trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarEconomy Context triple: [al-Bab, preWarEconomy, agriculture and trade]
-
A.
preWarCapacity
Indicates the capacity or level something had before a war or major conflict occurred.
-
B.
prewarActivity
chosen
Indicates activities, conditions, or behaviors that occurred or were carried out before a specific war or armed conflict.
-
C.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
D.
prewarStatus
Indicates the condition, role, or circumstances of an entity as they existed before a specific war or armed conflict.
-
E.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:57 p.m.