Triple
T101641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippines |
E2051
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.phl
.phl is a proposed or lesser-used internet country code top-level domain associated with the Philippines, distinct from its primary ccTLD, .ph.
|
E10124
|
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: .phl | Statement: [Philippines, internetTLD, .phl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .phl Context triple: [Philippines, internetTLD, .phl]
-
A.
.ph
.ph is the country code top-level domain (ccTLD) designated for websites associated with the Philippines.
-
B.
Baybayin
Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
-
C.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
D.
NLS
NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
-
E.
Filipino
Filipinos are a Southeast Asian ethnolinguistic group native to the Philippines, known for their diverse Austronesian, Spanish, American, and Chinese cultural influences and a global diaspora.
- 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: .phl Triple: [Philippines, internetTLD, .phl]
Generated description
.phl is a proposed or lesser-used internet country code top-level domain associated with the Philippines, distinct from its primary ccTLD, .ph.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .phl Target entity description: .phl is a proposed or lesser-used internet country code top-level domain associated with the Philippines, distinct from its primary ccTLD, .ph.
-
A.
.ph
.ph is the country code top-level domain (ccTLD) designated for websites associated with the Philippines.
-
B.
Baybayin
Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
-
C.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
D.
NLS
NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
-
E.
Filipino
Filipinos are a Southeast Asian ethnolinguistic group native to the Philippines, known for their diverse Austronesian, Spanish, American, and Chinese cultural influences and a global diaspora.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256a8b6d0819083838a9708759407 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c1e3b688190ab90ecf5f2d55e50 |
completed | Feb. 28, 2026, 4:16 a.m. |
| NEDg | Description generation | batch_69a26e73039481908237b43ed0d7e5b7 |
completed | Feb. 28, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2748594b0819092da9977b209b5fd |
completed | Feb. 28, 2026, 4:52 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.