Triple
T11667473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iverson Movie Ranch |
E277289
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Simi Hills |
E316143
|
NE 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: Simi Hills | Statement: [Iverson Movie Ranch, partOf, Simi Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simi Hills Context triple: [Iverson Movie Ranch, partOf, Simi Hills]
-
A.
Simi Hills
chosen
Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
-
B.
Simi Valley
Simi Valley is a suburban city in Southern California known for its scenic hills, residential communities, and as the site of the Ronald Reagan Presidential Library.
-
C.
Simi Town
Simi Town is the main urban center and administrative hub of the Simi area.
-
D.
Margonda Raya
Margonda Raya is a main commercial and transportation artery in Depok, Indonesia, lined with shops, malls, campuses, and dense urban activity.
-
E.
Dum Dum
Dum Dum is a suburban city near Kolkata in eastern India, known for housing the Netaji Subhas Chandra Bose International Airport and having a significant role in the region’s transport and industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13b36ae4819096e6dfca23a69250 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.