Triple
T4729764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Palma |
E104976
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Palma
Palma is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
|
E465110
|
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: Palma | Statement: [José Palma, familyName, Palma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palma Context triple: [José Palma, familyName, Palma]
-
A.
Palma de Mallorca
Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
-
B.
Mahón
Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
-
C.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
D.
Benidorm
Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
-
E.
Mataró
Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
- 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: Palma Triple: [José Palma, familyName, Palma]
Generated description
Palma is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palma Target entity description: Palma is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
A.
Palma de Mallorca
Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
-
B.
Mahón
Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
-
C.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
D.
Benidorm
Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
-
E.
Mataró
Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd646135c881909030c21a163cc619 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a4bc0481908935278afb13503d |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be13d99f9881908dd19dd40ac87a6d |
completed | March 21, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be143ea2108190941294255bc4679c |
completed | March 21, 2026, 3:45 a.m. |
Created at: March 20, 2026, 1:19 p.m.