Triple
T18998756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tessera |
E464888
|
entity |
| Predicate | roadAccessVia |
P9041
|
FINISHED |
| Object | SS14 |
—
|
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: SS14 | Statement: [Tessera, roadAccessVia, SS14]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SS14 Context triple: [Tessera, roadAccessVia, SS14]
-
A.
SS14
chosen
SS14 is a residential and commercial neighborhood in Subang Jaya, Selangor, Malaysia, known for its local eateries, shops, and proximity to educational institutions.
-
B.
SS13
SS13 is a residential and commercial neighborhood located within the city of Subang Jaya in Selangor, Malaysia.
-
C.
SS15
SS15 is a popular commercial and residential hub in Subang Jaya, Malaysia, known for its vibrant food scene, cafes, and student population.
-
D.
SS15
SS15 is a postcode district in the SS area of Essex, England, covering parts of Basildon such as Laindon and Steeple View.
-
E.
SS145 Sorrentina
SS145 Sorrentina is a coastal Italian state road on the Sorrento Peninsula, known for its scenic route connecting towns along the Bay of Naples.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.