Triple
T9313948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronchi di Apuania |
E224071
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Massa |
E207971
|
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: Massa | Statement: [Ronchi di Apuania, locatedNear, Massa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massa Context triple: [Ronchi di Apuania, locatedNear, Massa]
-
A.
Massa
chosen
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
B.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
C.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
D.
Massa Bruta
Massa Bruta is the popular nickname of Brazilian football club Red Bull Bragantino, reflecting its strong and combative playing style.
-
E.
Masa
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.