Triple
T7669227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pescara |
E173704
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Scafa
Scafa is a small Italian town and comune in the Abruzzo region, situated in the Province of Pescara.
|
E679691
|
NE FINISHED |
How this triple was built (4 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: Scafa | Statement: [Province of Pescara, contains, Scafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scafa Context triple: [Province of Pescara, contains, Scafa]
-
A.
Colihaut
Colihaut is a small coastal village and fishing community on the western side of Dominica in the Caribbean.
-
B.
Galeata
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
C.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
D.
Taranis
Taranis is a major Celtic thunder god often associated with the sky, storms, and the wheel as a symbol of his power.
-
E.
Air Shard
Air Shard is the dramatic, sharply angled aluminum-clad tower of Imperial War Museum North that symbolizes the chaos and fragmentation of war.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scafa Triple: [Province of Pescara, contains, Scafa]
Generated description
Scafa is a small Italian town and comune in the Abruzzo region, situated in the Province of Pescara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scafa Target entity description: Scafa is a small Italian town and comune in the Abruzzo region, situated in the Province of Pescara.
-
A.
Colihaut
Colihaut is a small coastal village and fishing community on the western side of Dominica in the Caribbean.
-
B.
Galeata
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
C.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
D.
Taranis
Taranis is a major Celtic thunder god often associated with the sky, storms, and the wheel as a symbol of his power.
-
E.
Air Shard
Air Shard is the dramatic, sharply angled aluminum-clad tower of Imperial War Museum North that symbolizes the chaos and fragmentation of war.
- F. None of above. chosen
Provenance (5 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c3ff38819090d65ac4ae218750 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b29232c81908568eda38c2ac12a |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89d3eb9bc819099af036126e0ac4d |
completed | March 29, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d9255e08190b248f0c3fc858bc5 |
completed | March 29, 2026, 3:33 a.m. |
Created at: March 27, 2026, 4 p.m.