Triple
T4196445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halewood |
E89163
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Speke |
E27863
|
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: Speke | Statement: [Halewood, adjacentTo, Speke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speke Context triple: [Halewood, adjacentTo, Speke]
-
A.
Apswa
Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
-
B.
Lusoga
Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
-
C.
Speke Airport
chosen
Speke Airport was the original name of the international airport serving Liverpool, England, now known as Liverpool John Lennon Airport.
-
D.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
-
E.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035f9f788190a4bcfeda646fbebf |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0ff2a08190ac7f89d306454ab8 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.