Triple
T5708421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milford Haven Waterway |
E125842
|
entity |
| Predicate | hasVillageOnShore |
P4011
|
FINISHED |
| Object | Angle |
E540246
|
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: Angle | Statement: [Milford Haven Waterway, hasVillageOnShore, Angle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angle Context triple: [Milford Haven Waterway, hasVillageOnShore, Angle]
-
A.
Angle
chosen
Angle is a coastal village and parish in Pembrokeshire, Wales, known for its historic maritime connections and position on the Milford Haven Waterway.
-
B.
Angles
The Angles were a Germanic people who migrated to Britain in the early Middle Ages and gave their name to England and the English.
-
C.
The Angle
The Angle is a prominent battlefield site at Gettysburg, marking the focal point of Pickett’s Charge and often referred to as the “High Water Mark of the Confederacy.”
-
D.
Angle of Investigation
"Angle of Investigation" is a crime fiction collection by Michael Connelly featuring detective Harry Bosch in a series of investigative short stories.
-
E.
Triangle
Triangle is a small sugar-producing town in southeastern Zimbabwe known for its large sugar estates and milling operations.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248ab6a88190be17bdc32c36e5cb |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07de7df8c8190824d24f729eaa04d |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:45 p.m.