Triple
T9079957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | León |
E217591
|
entity |
| Predicate | stadiumNickname |
P9350
|
FINISHED |
| Object | Nou Camp |
E253357
|
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: Nou Camp | Statement: [León, stadiumNickname, Nou Camp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nou Camp Context triple: [León, stadiumNickname, Nou Camp]
-
A.
Nou Camp
chosen
Nou Camp is the commonly used English name for Camp Nou, the iconic home stadium of FC Barcelona in Barcelona, Spain.
-
B.
Camp de Mar
Camp de Mar is a small seaside resort and beach area on the southwest coast of Mallorca, Spain, known for its sheltered bay and clear turquoise waters.
-
C.
Abrera
Abrera is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona and known for its industrial activity and residential areas.
-
D.
Nouel
Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
-
E.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe2103448190bbc09436f19c4f11 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.