Triple
T19712395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khabur |
E473380
|
entity |
| Predicate | associatedWithArchaeologicalSites |
P78887
|
FINISHED |
| Object | Tell Barri |
—
|
NE NERFINISHED |
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: Tell Barri | Statement: [Khabur, associatedWithArchaeologicalSites, Tell Barri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Barri Context triple: [Khabur, associatedWithArchaeologicalSites, Tell Barri]
-
A.
Tell Barri
chosen
Tell Barri is an important archaeological mound in northeastern Syria that contains remains from multiple ancient Near Eastern civilizations, including Hurrian, Assyrian, and later periods.
-
B.
Barri
Barri is a given name variant of Barry, typically used as a personal name.
-
C.
Belén
Belén is a municipality located in the Rivas Department of southwestern Nicaragua, known for its rural character and agricultural activities.
-
D.
Belén
Belén is a common Spanish feminine given name, often used as a diminutive of "Belén María" and associated with the Spanish word for Bethlehem.
-
E.
Belén
Belén is a small but economically important city in Costa Rica’s Central Valley, known for its industrial parks, business centers, and proximity to the capital, San José.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440a0f2c8190803ace7f6b4ed6e9 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.