Triple
T5131809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menstrie |
E115717
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | Menstrie |
E115717
|
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: Menstrie | Statement: [Menstrie, postalTown, Menstrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menstrie Context triple: [Menstrie, postalTown, Menstrie]
-
A.
Menstrie
chosen
Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
-
B.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
C.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
-
D.
Brownridge
Brownridge is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban character and proximity to shopping and community amenities.
-
E.
Nicholaston
Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782904788190b544540483915c0e |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c9a14881908a8bf2f73ebf56f7 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.