Triple
T37230901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Formigues islets |
E923128
|
entity |
| Predicate | hasLighthouseName |
P59957
|
FINISHED |
| Object | Far de les Formigues |
—
|
NE NERFINISHED |
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: Far de les Formigues | Statement: [Les Formigues islets, hasLighthouseName, Far de les Formigues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLighthouseName Context triple: [Les Formigues islets, hasLighthouseName, Far de les Formigues]
-
A.
lighthouseName
chosen
Indicates that a lighthouse is identified by a specific name.
-
B.
hasLightHouse
Indicates that one place or structure possesses, contains, or is associated with a lighthouse.
-
C.
lighthouseType
Indicates the specific classification or category of a lighthouse based on its design, function, or operational characteristics.
-
D.
lighthouseLocatedAt
Indicates that a lighthouse is situated at or associated with a specific geographic location.
-
E.
isFirstLighthouseIn
Indicates that a lighthouse is the earliest or first one established within a specified location or region.
- F. None of above.
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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 3, 2026, 4:15 p.m.