Triple
T7163238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip |
E166998
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Filip
Filip is a masculine given name, commonly used in various European countries, that is a variant of the name Philip.
|
E646188
|
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: Filip | Statement: [Philip, hasVariantForm, Filip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filip Context triple: [Philip, hasVariantForm, Filip]
-
A.
Filipów
Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
-
B.
Philippines
The Philippines is a Southeast Asian archipelagic country in the western Pacific Ocean known for its diverse culture, colonial history, and thousands of islands.
-
C.
Filipina
Filipina is an island country in Southeast Asia composed of thousands of islands, known for its diverse cultures, tropical landscapes, and strategic location in the western Pacific Ocean.
-
D.
PHILIPPINE
PHILIPPINE is the radio callsign used by Philippine Airlines for its flight operations and air traffic communications.
-
E.
Boholano
Boholano is a regional variety of the Cebuano (Binisaya) language spoken primarily on the island of Bohol in the Philippines.
- 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: Filip Triple: [Philip, hasVariantForm, Filip]
Generated description
Filip is a masculine given name, commonly used in various European countries, that is a variant of the name Philip.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Filip Target entity description: Filip is a masculine given name, commonly used in various European countries, that is a variant of the name Philip.
-
A.
Filipów
Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
-
B.
Philippines
The Philippines is a Southeast Asian archipelagic country in the western Pacific Ocean known for its diverse culture, colonial history, and thousands of islands.
-
C.
Filipina
Filipina is an island country in Southeast Asia composed of thousands of islands, known for its diverse cultures, tropical landscapes, and strategic location in the western Pacific Ocean.
-
D.
PHILIPPINE
PHILIPPINE is the radio callsign used by Philippine Airlines for its flight operations and air traffic communications.
-
E.
Boholano
Boholano is a regional variety of the Cebuano (Binisaya) language spoken primarily on the island of Bohol in the Philippines.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc8b06c81909791e38becb594f6 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae5767408190860c1c7bc3a769fa |
completed | March 28, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aeb9373c8190ac2d282e8153201f |
completed | March 28, 2026, 10:34 a.m. |
Created at: March 27, 2026, 2:47 p.m.