Triple
T9649385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap de Creus |
E233293
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Portlligat |
E260149
|
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: Portlligat | Statement: [Cap de Creus, near, Portlligat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portlligat Context triple: [Cap de Creus, near, Portlligat]
-
A.
Portlligat
chosen
Portlligat is a small coastal village in Catalonia, Spain, best known as the longtime home and studio of surrealist artist Salvador Dalí and his wife Gala.
-
B.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
-
C.
Oweynagat
Oweynagat is an ancient cave in County Roscommon, Ireland, traditionally regarded in mythology as a sinister entrance to the Otherworld and associated with the royal site of Cruachan (Rathcroghan).
-
D.
Harlech
Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
-
E.
Douarnenez
Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9badd630819087fd844d7878ec61 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18262dc50819089cfc17c770a1a90 |
completed | April 4, 2026, 9:28 p.m. |
Created at: March 30, 2026, 8:13 p.m.