Triple
T17421431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelaw Metro station |
E423625
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Pelaw |
—
|
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: Pelaw | Statement: [Pelaw Metro station, locatedIn, Pelaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelaw Context triple: [Pelaw Metro station, locatedIn, Pelaw]
-
A.
Pelaw
chosen
Pelaw is a suburban area in Gateshead, Tyne and Wear, England, served by the Tyne and Wear Metro network.
-
B.
Pelariga
Pelariga is a civil parish within the municipality of Pombal in central Portugal.
-
C.
Petlad
Petlad is a town in the Indian state of Gujarat, known for its agricultural markets and role as a local commercial center in the Anand region.
-
D.
Petelia
Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
-
E.
Lepar
Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.